Quantum Computing for Molecular Biology**
Open accessAbstract
Molecular biology and biochemistry interpret microscopic processes in the living world in terms of molecular structures and their interactions, which are quantum mechanical by their very nature. Whereas the theoretical foundations of these interactions are well established, the computational solution of the relevant quantum mechanical equations is very hard. However, much of molecular function in biology can be understood in terms of classical mechanics, where the interactions of electrons and nuclei have been mapped onto effective classical surrogate potentials that model the interaction of atoms or even larger entities. The simple mathematical structure of these potentials offers huge computational advantages; however, this comes at the cost that all quantum correlations and the rigorous many‐particle nature of the interactions are omitted. In this work, we discuss how quantum computation may advance the practical usefulness of the quantum foundations of molecular biology by offering computational advantages for simulations of biomolecules. We not only discuss typical quantum mechanical problems of the electronic structure of biomolecules in this context, but also consider the dominating classical problems (such as protein folding and drug design) as well as data‐driven approaches of bioinformatics and the degree to which they might become amenable to quantum simulation and quantum computation.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 110 cited sources checked · 0 supported · 0 flagged
- Premisenone given§ 3. Theoretical foundations: Quantum electronic and vibrational structure
In transition metal complexes, d-type atomic orbitals often include near-degenerate, partially occupied orbitals.
“In the former case, the manifold of d-type atomic orbitals of transition-metal active sites, and transition metal complexes in general, often contains near-degenerate orbitals that are partially occupied.”
Quote in the paperNot a substantial claim - Interpretationreasoning§ 3. Theoretical foundations: Quantum electronic and vibrational structure
A single singlet configuration cannot describe bond-breaking because spin pairing yields two degenerate configurations with exchanged alpha and beta spin orbitals on the dissociating fragments.
“a situation that cannot be captured by a single configuration in a singlet state because spin pairing will always produce two degenerate configurations with alpha and beta spin orbitals exchanged on the dissociating parts.”
Quote in the paperNot a substantial claim - Premisereasoning§ 1. Introduction
The dramatic gain in efficiency results from mapping electron correlations onto pair interactions of atoms.
“The dramatic gain in efficiency is a result of the mapping of the electron correlations onto pair interactions of atoms and thus mainly”
Quote in the paperSubstantial claim - Premisereasoning§ 3. Theoretical foundations: Quantum electronic and vibrational structure
The computational representation of the wave function requires storing a number of coefficients that grows exponentially with the number of electrons.
“This implies that the computational representation of the wave function requires storing a number of coefficients that grows exponentially with the number of electrons.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The number of molecular orbitals is proportional to the number of electrons.
- Premisereasoning§ 1. Introduction
Qualitative understanding of biomolecular machinery often does not require detailed atomistic structure or dynamics.
“the resulting qualitative understanding of the functioning of biomolecular machinery, supported by extensive experimental results, often does not require a detailed atomistic structure and certainly not detailed atomistic dynamics.”
Quote in the paperSubstantial claim
- Interpretationreasoning§ Quantum Computing for Molecular Biology**
Quantum computation may increase the practical usefulness of quantum foundations in molecular biology by providing computational advantages for biomolecular simulations.
“we discuss how quantum computation may advance the practical usefulness of the quantum foundations of molecular biology by offering computational advantages for simulations of biomolecules.”
Quote in the paperSubstantial claim - Premisenone given§ 3. Theoretical foundations: Quantum electronic and vibrational structure
At the coalescence of two electrons, the many-body wave function has a cusp (Kato cusp), meaning its derivative is discontinuous.
“It can be proven that, at the coalescence of two electrons, the many-body wave function displays a cusp (the so-called Kato cusp), i. e. its derivative is not continuous.”
Quote in the paperNot a substantial claim - Premisenone given§ 3. Theoretical foundations: Quantum electronic and vibrational structure
The curse of dimensionality plagues any full-CI-based method aiming at solving quantum many-body problems in terms of one-particle functions.
“The curse of dimensionality plagues any full-CI-based method aiming at solving quantum many-body problems in terms of one-particle functions.”
Quote in the paperNot a substantial claim - Premisecitation§ 2. Physical modeling of biological processes
Only if chemical bonds are formed or broken, such descriptions become more involved and require reactive force fields that are highly specialized and tailored to a given class of molecules.
“Only if chemical bonds are formed or broken, such descriptions become more involved and require so-called reactive force fields [54] that are, however, highly specialized and tailored towards a given class of molecules.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [54] source
Not checked in the free run.
- Premisereasoning§ 3. Theoretical foundations: Quantum electronic and vibrational structure
The number of configurations that can be constructed grows combinatorially with the number of electrons.
“the number of configurations that can be constructed grows combinatorially with N ele .”
Quote in the paperSubstantial claim- The authors state this as an assumption: The number of molecular orbitals is proportional to the number of electrons.
- Premisereasoning§ 3. Theoretical foundations: Quantum electronic and vibrational structure
Because of the weakness of reversible interactions, quantum mechanical modeling can efficiently address the quantum states of individual molecular players and their interactions rather than describing all of them as a whole system.
“It is because of the weakness of these reversible interactions that quantum mechanical modeling can efficiently address the quantum states of the individual molecular players (and their interactions) rather than describing all of them as a whole system; i. e., separated biomolecules and their interactions are studied rather than an organelle or a cell as a whole.”
Quote in the paperSubstantial claim - Premisecitation§ 3. Theoretical foundations: Quantum electronic and vibrational structure
Dispersion interactions can be well approximated by effective pairwise classical potentials.
“dispersion interactions can be well-approximated with effective pairwise classical potentials.[68]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [68] source
Not checked in the free run.
- Premisereasoning§ 1. Introduction
Reaction mechanisms of chemical processes in living cells can be analyzed and understood by computationally solving the relevant quantum mechanical equations.
“reaction mechanisms of chemical processes in living cells can be analyzed and understood by computationally solving the relevant quantum mechanical equations.”
Quote in the paperSubstantial claim - Premisereasoning§ 2. Physical modeling of biological processes
Electronic quantum correlations in biomolecules are rather regular in the sense that they can be mapped to simple classical models.
“electronic quantum correlations turn out to be rather regular in the sense that they can be mapped to simple classical models.”
Quote in the paperNot a substantial claim - Premisecitation§ 3. Theoretical foundations: Quantum electronic and vibrational structure
Transition metal complexes and bond-breaking processes are paradigmatic examples of strong correlation in molecules.
“Paradigmatic examples of strong correlation effects in molecules are transition metal complexes (as they occur in active sites of metalloenzymes and FeS clusters) and bond-breaking processes.[65][66][67]”
Quote in the paperNot a substantial claim0 of 3 sources checked - Premisereasoning§ 3. Theoretical foundations: Quantum electronic and vibrational structure
Bond-breaking produces electronic configurations with unpaired electrons localized on different molecular fragments.
“Similarly, bond-breaking processes yield electronic configurations where unpaired electrons are localized on different parts of the molecule”
Quote in the paperNot a substantial claim - Premisecitation§ 2. Physical modeling of biological processes
Larger systems can be studied with methods that approximate the molecular Hamiltonian in terms of parametrized models, such as approximate density functional theory and related approaches.
“Larger systems can be studied with methods that also approximate the molecular Hamiltonian in terms of parametrized models.A prominent example is approximate density functional theory (DFT) [32,38] and related approaches (for instance, the random phase approximation [39] ).”
Quote in the paperNot a substantial claim0 of 3 sources checked - Premisereasoning§ 3. Theoretical foundations: Quantum electronic and vibrational structure
Extrapolation techniques designed to tame this problem are inherently heuristic because the form of the power law must be fixed a priori.
“These methods are, however, inherently heuristic because the form of the power law must be fixed a priori.”
Quote in the paperNot a substantial claim - Premisereasoning§ 2. Physical modeling of biological processes
Surprisingly transferable potential energy functions are obtained that capture fundamental interactions in a molecular mechanics framework rooted in classical Newtonian mechanics rather than quantum mechanics.
“Surprisingly transferable potential energy functions are obtained that capture the fundamental interactions in a molecular mechanics framework, which is now rooted in classical Newtonian mechanics rather than quantum mechanics.”
Quote in the paperNot a substantial claim - Interpretationreasoning§ 3. Theoretical foundations: Quantum electronic and vibrational structure
Because of near-degenerate partially occupied d orbitals, the corresponding configurations have similar weight in the full-CI wave function.
“The corresponding configurations will, therefore, have a similar weight in the full-CI wave function.”
Quote in the paperNot a substantial claim - Premisecitation§ 2. Physical modeling of biological processes
Due to the lack of generality and possibility of reliably controlling the error, only explicit quantum mechanical calculations can deliver reliable insights into any biochemical process accompanied by breaking and forming bonds.
“Due to the lack of generality and possibility of reliably controlling the error, only explicit quantum mechanical calculations can deliver reliable insights into any biochemical process that is accompanied by breaking and forming bonds.[55][56][57]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [55][56][57]
Not checked in the free run.
- Premisereasoning§ 3. Theoretical foundations: Quantum electronic and vibrational structure
Because the interactions do not depend on time, the time dependence of the Hamiltonian can be rigorously eliminated.
“Since these interactions do not depend on time, we can rigorously eliminate the t dependence of the Hamiltonian, i. e., Ĥ t ð Þ !Ĥ.”
Quote in the paperNot a substantial claim - Premisereasoning§ Quantum Computing for Molecular Biology**
Classical surrogate potentials omit quantum correlations and the rigorous many-particle nature of the interactions.
“this comes at the cost that all quantum correlations and the rigorous many-particle nature of the interactions are omitted.”
Quote in the paperSubstantial claim - Premisereasoning§ 3. Theoretical foundations: Quantum electronic and vibrational structure
The resulting unfavorable scaling renders full-CI impractical on classical hardware already for molecular systems with more than three to five atoms.
“The resulting unfavorable scaling is often referred to as the curse of dimensionality and renders full-CI impractical on classical hardware already for molecular systems with more than three to five atoms.”
Quote in the paperSubstantial claim - Premisecitation§ 1. Introduction
These interactions can be accurately modeled by classical surrogate potentials for interacting atoms as new entities, typically requiring only two fit parameters per pair potential as in Lennard-Jones potentials.
“it is well known [26][27][28][29][30] that these types of interactions can be accurately modeled by classical surrogate potentials for interacting atoms as new entities; typically only two fit parameters per pair potential are required as in Lennard-Jones potentials”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [26][27][28][29][30]
Not checked in the free run.
- Premisenone given§ 2. Physical modeling of biological processes
The Coulomb interaction of electrons and nuclei within and between biomolecules can be mapped onto specific forms of potential energy functions defined between atoms, united atoms, or larger coarse-grained aggregates.
“the underlying Coulomb interaction of electrons and nuclei within and between biomolecules can be mapped onto specific forms of potential energy functions, now defined between new dynamical entities: atoms, united atoms, or even larger coarse-grained aggregates.”
Quote in the paperNot a substantial claim - Premisecitation§ 2. Physical modeling of biological processes
Ab initio wave-function-based methods are routinely applicable to molecules with several dozens of atoms.
“Ab initio wave-function-based methods aim at solving the many-body problem with approximate wave function parameterizations (such as truncated CI, [35] coupled cluster, [36] and perturbation theory [37] ), which are routinely applicable to molecules with several dozens of atoms.”
Quote in the paperNot a substantial claim0 of 3 sources checked - Premisereasoning§ 1. Introduction
Electron correlation effects are very hard to describe in a huge many-electron system such as a protein because the computational effort for solving the underlying electronic Schrödinger equation scales exponentially with system size.
“these electron correlation effects are very hard to describe in principle in a huge many-electron system such as a protein because the computational effort for the solution of the underlying electronic Schrödinger equation scales exponentially with system size.”
Quote in the paperSubstantial claim - Premisereasoning§ 3. Theoretical foundations: Quantum electronic and vibrational structure
The same challenges will be faced for the solution of the time-dependent Schrödinger equation, both for the nuclear and for the electronic case.
“The same challenges will be faced for the solution of the time-dependent Schrödinger equation, both for the nuclear and for the electronic case.”
Quote in the paperNot a substantial claim - Interpretationreasoning§ 3. Theoretical foundations: Quantum electronic and vibrational structure
Using products of cuspless Gaussian basis functions to satisfy the Kato cusp condition produces highly non-compact full-CI wave functions with many small but non-negligible coefficients, a signature of dynamical correlation.
“Attempting to fulfill the Kato cusp condition with products of cuspless Gaussian basis functions yields highly non-compact full-CI wave functions, with many configurations with small but non-negligible coefficients -the signature of dynamical correlations.”
Quote in the paperNot a substantial claim - Premisenone given§ 1. Introduction
The most important quantum effects in biology are rooted primarily in the electronic structure of biomolecules and to a lesser degree in quantum nuclear motion.
“the most important quantum effects are first and foremost rooted in the electronic structure of biomolecules and, to a lesser degree, in their quantum nuclear motion (giving rise, for instance, to tunneling and kinetic isotope effects).”
Quote in the paperSubstantial claim - Premisenone given§ 6. Local quantum effects in biochemical processes
Every traditional method for electronic energy strikes a compromise between feasibility and accuracy: higher accuracy requires smaller systems.
“every method strikes a compromise between feasibility and accuracy: the more accurate the energies (and, in particular, the energy differences) need to be, the smaller the systems (in terms of the number of atoms or electrons) are for which an accurate method is feasible on some traditional computer hardware.”
Quote in the paperSubstantial claim - Premisereasoning§ 5. Computational foundations: The promise of quantum simulation
Mimicking interactions with analog quantum simulation is often hard because many-body interaction terms may not be directly encoded on the hardware.
“Mimicking the interactions of a quantum system with an analog quantum simulation is often hard due to the fact that the many-body interaction terms of a given Hamiltonian (for instance, the electronic Hamiltonian of Figure 2) may not be directly encoded on the hardware at hand.”
Quote in the paperNot a substantial claim - Premisecitation§ 6. Local quantum effects in biochemical processes
Quantum phase estimation algorithms are likely to compete with and beat the best traditional approaches for strong electron correlation cases, such as metalloenzyme active sites and electronically excited states.
“Detailed resource estimates [13,140] showed that algorithms based on quantum phase estimation are likely to compete and beat the best traditional approaches for cases of strong electron correlation as they occur in active sites of metalloenzymes (and in electronically excited states; see below).”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation§ 5. Computational foundations: The promise of quantum simulation
Quantum error correction alone is insufficient because error-correction circuits may introduce new errors.
“Note that quantum error correction, first put forward by Shor in 1996, [115] alone is not sufficient, because the quantum circuits carrying out the error correction may themselves introduce new errors.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [115] source
Not checked in the free run.
- Premisenone given§ 5. Computational foundations: The promise of quantum simulation
VQE yields the exact full-CI solution only if the final wave function can be represented by the chosen ansatz.
“However, VQE yields the exact solution to the full-CI problem only if the final wave function can be represented with that ansatz.”
Quote in the paperNot a substantial claim - Premisenone given§ 4. Computational foundations: Traditional approaches
For chemical problems, rigorous lower bounds from 2-RDM methods have not been as close to the believed true ground-state energy as variational upper bounds.
“For chemical problems, unfortunately, the rigorous lower bounds obtained with this method have not been as close from below to the believed true ground state energy as the variational methods from above.”
Quote in the paperNot a substantial claim - Premisecitation§ 5. Computational foundations: The promise of quantum simulation
On a fault-tolerant computer, full-CI energy can be measured by preparing a wave function ansatz and applying Quantum Phase Estimation, which projects into an energy eigenstate.
“On a fault-tolerant computer, one may directly measure the full-CI energy by first preparing a wave function ansatz on the quantum hardware (as in VQE) and then applying the Quantum Phase Estimation algorithm, which projects a prepared state into an energy eigenstate of the Hamiltonian.[111,[132][133][134][135][136]”
Quote in the paperSubstantial claim0 of 2 sources checked - Interpretationreasoning§ 4. Computational foundations: Traditional approaches
Entanglement growth makes it difficult to accurately represent the time-evolving wave function as a TNS over the whole propagation.
“This makes it difficult to accurately represent the time-evolving wave function as a TNS over the whole propagation.”
Quote in the paperNot a substantial claim - Premisereasoning§ 6. Local quantum effects in biochemical processes
Accurate quantum mechanical calculation of electronic energy for biomolecules suffers from the curse of dimensionality due to the large number of orbitals required.
“the accurate quantum mechanical calculation of the electronic energy for a given arrangement of the atomic nuclei in the biomolecules under consideration suffers from the curse of dimensionality through the large number of orbitals required for accurate results.”
Quote in the paperSubstantial claim - Premisecitation§ 6. Local quantum effects in biochemical processes
The complex environment of a chemical reaction can be efficiently modeled by classical embedding schemes.
“This environment can be efficiently described in a classical embedding scheme, an idea that won the Nobel Prize in Chemistry in 2013.[48]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [48] source
Not checked in the free run.
- Premisenone given§ 4. Computational foundations: Traditional approaches
Truncated CI approaches have computational complexity scaling polynomially with the number of orbitals, with an exponent proportional to N_sub.
“whose computational complexity scales polynomially with the number of orbitals, with an exponent proportional to N sub .”
Quote in the paperNot a substantial claim - Premisecitation§ 5. Computational foundations: The promise of quantum simulation
Problems in chemistry and molecular biology require mapping electron representation onto qubit structure, often using Jordan-Wigner or Bravyi-Kitaev transforms.
“Common to problems from both chemistry and molecular biology is the necessity of mapping the representation of electrons onto the qubit structure.This mapping is often done with the Jordan-Wigner [121] or the Bravyi-Kitaev transform, [122,123]”
Quote in the paperNot a substantial claim0 of 3 sources checked - Premisenone given§ 5. Computational foundations: The promise of quantum simulation
There is an assembled qualitative and quantitative understanding of good candidate functions (e.g., FCI-type wave functions optimized by DMRG or FCIQMC) that approximate strongly correlated systems well, giving hope for overlap.
“However, in these cases, an amazing qualitative and quantitative understanding of good candidates for functions (such as the FCI-type wave functions optimized by DMRG or FCIQMC; see above) has been assembled that approximate such strongly correlated systems well so that there is hope that the overlap”
Quote in the paperSubstantial claim - Premisecitation§ 5. Computational foundations: The promise of quantum simulation
Techniques replace noisy physical qubits and gates with encoded logical qubits and gates, allowing noise-free quantum computation on noisy hardware if noise is below a threshold (threshold theorem).
“Luckily, techniques have been developed that replace each noisy physical qubit and physical gate in a circuit with an encoded logical qubit and logical gate, thereby allowing an entirely noise-free quantum computation to be simulated on noisy quantum hardware (given that the noise is below a threshold -the 'threshold theorem').[116]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [116]
Not checked in the free run.
- Premisenone given§ 4. Computational foundations: Traditional approaches
A second hurdle for active-space methods is the need to identify strongly correlated electrons a priori without knowing the exact full-CI wave function.
“One should not forget that the second hurdle of active space-based methods is the need of identifying the strongly-correlated electrons a priori, without knowing the exact full-CI wave function.”
Quote in the paperNot a substantial claim - Interpretationreasoning§ 5. Computational foundations: The promise of quantum simulation
Gadgets can overcome this limit by mapping desired interactions via perturbation theory to effective hardware interactions, at the cost of a slight increase in hardware size.
“This limit can be overcome with so-called gadgets that map, via perturbation theory, the desired interactions of the system to be simulated to effective interactions built from those available in the hardware.The price to be paid is a slight increase, usually a multiplicative constant, of the hardware size needed to simulate a given quantum system.”
Quote in the paperNot a substantial claim - Premisereasoning§ 4. Computational foundations: Traditional approaches
The impossibility of routinely applying full-CI to large molecules has driven the development of approximate methods that avoid the curse of dimensionality.
“The impossibility of routinely applying full-CI to large molecules has sparked the development of approximate methods not suffering from the curse of dimensionality.”
Quote in the paperSubstantial claim - Premisereasoning§ 5. Computational foundations: The promise of quantum simulation
For electronic structure problems dominated by dynamic correlation, the Hartree-Fock state is a reliable initial state with sufficient overlap, as known from single-reference approaches like coupled cluster.
“In practice, however, for those electronic structure problems that are dominated by dynamic correlation (see above), the Hartree-Fock state will be a reliable initial state with sufficient overlap with the final state, as this has been the key insight into the development of single-reference approaches such as coupled cluster for decades.”
Quote in the paperSubstantial claim - Premisecitation§ 5. Computational foundations: The promise of quantum simulation
In the presence of strong static correlation, the Hartree-Fock state may not have sufficiently large overlap with the final wave function.
“In the presence of strong static correlation, the Hartree-Fock state may not have a sufficiently large overlap with the final wave function (see Ref. [137]).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [137]
Not checked in the free run.
- Premisereasoning§ 4. Computational foundations: Traditional approaches
Full-CI can be systematically approximated by including only up to N_sub-tuple substitutions in the wave function expansion.
“Based on this idea of orbital substitutions, the full-CI wave function can be systematically approximated by including only up to N sub -tuple substitutions in the wave function expansion.”
Quote in the paperNot a substantial claim - Interpretationnone given§ 7. Global quantum effects in functional biomolecules
Ensuring quantum hardware stability over the whole propagation time is the major practical challenge.
“In practice, the major challenge will be ensuring quantum hardware stability over the whole propagation time.”
Quote in the paperSubstantial claim - Premisecitation§ 8. Quantum computing for structural biology
The protein folding optimization problem is classically complex (NP-hard).
“However, this optimization problem is classically complex (NP-hard) to solve.[192]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [192] source
Not checked in the free run.
- Premisecitation§ 8. Quantum computing for structural biology
Weak interactions are effectively approximated by classical surrogate potentials, i.e., force fields.
“Furthermore, it is superfluous, because weak interactions are effectively approximated by classical surrogate potentials, i. e., by the socalled force fields.[177][178][179][180]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [177][178][179]
Not checked in the free run.
- Premisecitation§ 7. Global quantum effects in functional biomolecules
Multidimensional electronic spectroscopy has revealed quantum coherences in the early phase of EET in light-harvesting systems.
“Multidimensional electronic spectroscopy measurements of light-harvesting systems have revealed the presence of quantum coherences (i.e., that the electronic wave function is a coherent superposition of excited states centered on each chromophore) in the early phase of the EET process.[161][162][163]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [161][162][163]
Not checked in the free run.
- Interpretationreasoning§ 8. Quantum computing for structural biology
Full atomistic quantum mechanical simulations of large biomolecules will most likely remain out of reach for any simulation method, classical or quantum, due to the curse of dimensionality.
“It is impractical because, due to the curse of dimensionality, full atomistic quantum mechanical simulations of large biomolecules will most likely remain out of reach for any simulation method, both with classical and quantum computation.”
Quote in the paperSubstantial claim - Interpretationreasoning§ 8. Quantum computing for structural biology
Processes driven by quantum effects from covalent bond changes or light excitation represent only a very small portion of biological processes.
“Processes driven by quantum effects induced either by the breaking or forming of covalent bonds (see Section 6) or by light excitation (see Section 7) represent only a very small portion of the realm of biological processes.”
Quote in the paperSubstantial claim - Premisereasoning§ 7. Global quantum effects in functional biomolecules
Effective excitonic Hamiltonians reduce problem complexity while still encoding key quantum mechanical effects driving these biological phenomena.
“As a way out, effective Hamiltonians (usually referred to as excitonic Hamiltonians) have been designed that largely reduce the problem complexity but still encode the key quantum mechanical effects that drive these biological phenomena.”
Quote in the paperSubstantial claim - Premisenone given§ 8. Quantum computing for structural biology
Molecular biology is governed by reversible, non-covalent interactions between biomolecules.
“molecular biology is governed by reversible, non-covalent interactions between biomolecules.”
Quote in the paperSubstantial claim - Interpretationreasoning§ 8. Quantum computing for structural biology
It is impossible to assess, based only on this observation, if and which algorithm may yield a practical quantum advantage for systems out of reach of classical computers.
“At the same time, it is impossible to assess, based only on this observation, if and which one of them may yield a practical quantum advantage for systems that are out of the reach of classical computers.”
Quote in the paperSubstantial claim - Premisenone given§ 7. Global quantum effects in functional biomolecules
Theoretical guarantees of exponential speedup can be derived for this problem.
“As we discussed in Section (5), this is one of the few examples of a problem for which theoretical guarantees of an exponential speedup can be derived.”
Quote in the paperNot a substantial claim - Interpretationreasoning§ 8. Quantum computing for structural biology
Going beyond simplified lattice models and applying them to a real force field is a crucial step to compete with classical dynamics methods.
“Furthermore, going beyond simplified lattice models and applying them to a real force field is a crucial step in order to truly compete with methods based on classical dynamics.”
Quote in the paperSubstantial claim - Interpretationreasoning§ 8. Quantum computing for structural biology
A key conceptual difference between simulation-based and optimization-based solutions to protein folding will remain for both classical and quantum computing.
“A key conceptual difference between simulation-and optimization-based solutions to the protein folding problem will remain for both classical and quantum computing.”
Quote in the paperNot a substantial claim - Premisecitation§ 7. Global quantum effects in functional biomolecules
Quantum mechanical simulations of magnetoreception have been limited to radical pairs much smaller and simpler than cryptochromes.
“For instance, quantum mechanical simulations of magnetoreception have been limited to radical pairs that are much smaller and simpler than the cryptochromes.[172][173][174]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [172][173][174]
Not checked in the free run.
- Interpretationreasoning§ 7. Global quantum effects in functional biomolecules
The claim that global quantum effects are relevant in photosynthesis and magnetoreception relies on simulations of simplified problems that further approximate the biochemical process.
“For this reason, the claim that global quantum effects are relevant in photosynthesis and magnetoreception relies on simulations of simplified problems that further approximate the biochemical process.”
Quote in the paperSubstantial claim - Premisecitation§ 8. Quantum computing for structural biology
Finding the lowest-energy conformation of a polypeptide is not the only relevant optimization problem in protein science.
“We note that finding the lowest-energy conformation of a polypeptide is not the unique relevant optimization problem in protein science.”
Quote in the paperNot a substantial claim - Premisecitation§ 8. Quantum computing for structural biology
As illustrated by the Levinthal paradox, a protein cannot fold by randomly sampling all possible conformations because the folding time would be much higher than observed experimentally.
“As illustrated by the Levinthal paradox, [208] a protein cannot fold simply by randomly sampling all its possible conformations because, in this way, the folding time would be much higher than what is observed experimentally.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [208] source
Not checked in the free run.
- Premisereasoning§ 8. Quantum computing for structural biology
Protein folding can be rephrased as an optimization problem.
“For instance, protein folding can be rephrased as an optimization problem.”
Quote in the paperSubstantial claim - Premisecitation§ 8. Quantum computing for structural biology
VQE-based methods have delivered data for parametrizing classical force fields.
“This idea has been recently explored in Refs.[190] and [191], where VQE-based methods delivered data for parametrizing classical force fields.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [190]
Not checked in the free run.
- cites [191] source
Not checked in the free run.
- Premisecitation§ 8. Quantum computing for structural biology
The folding problem can be solved based on this optimization idea only for simplified lattice models that drastically reduce conformational freedom.
“For this reason, the folding problem can be solved based on this idea only for simplified lattice models that drastically reduce the conformational freedom of a molecule.[193]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [193] source
Not checked in the free run.
- Premisereasoning§ 8. Quantum computing for structural biology
The protein folding problem can be solved by simulating the dynamics of a protein under thermal equilibrium conditions.
“The protein folding problem can be solved by simulating the dynamics of a protein under thermal equilibrium conditions.”
Quote in the paperNot a substantial claim - Premisenone given§ 8. Quantum computing for structural biology
Quantum optimization algorithms with heuristic performance gains for small test cases have been designed.
“Moreover, quantum optimization algorithms for which a gain in performance cannot be guaranteed, but has been observed heuristically for small test cases, have been designed.”
Quote in the paperNot a substantial claim - Premisecitation§ 7. Global quantum effects in functional biomolecules
Semiclassical simulations predict a radical pair lifetime much shorter than quantum-mechanical models.
“Semiclassical simulations predict a radical pair lifetime that is much shorter than that obtained with quantum-mechanical models.[171]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [171] source
Not checked in the free run.
- Premisecitation§ 8. Quantum computing for structural biology
The docking optimization problem is classically hard.
“As for the protein folding, the resulting optimization problem is classically hard.[194,195]”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation§ 8. Quantum computing for structural biology
The first attempts to solve protein folding with quantum annealing and later hybrid algorithms based on QAOA, VQE, and quantum random walks have been proposed.
“The first attempts to solve the protein folding optimization problem relied on quantum annealing [205,206] while, more recently, hybrid classical-variational algorithms based on QAOA, [109] VQE, [110] and on quantum random walks [207] have been proposed.”
Quote in the paperNot a substantial claim0 of 4 sources checked - Premisenone given§ 8. Quantum computing for structural biology
The efficiency of these quantum optimization methods has only been explored for simplified lattice models of small polypeptides with a few dozen amino acids.
“The efficiency of all these methods has only been explored so far for simplified lattice models of small polypeptides with a few dozen of amino acids.”
Quote in the paperNot a substantial claim - Interpretationreasoning§ 8. Quantum computing for structural biology
A biomolecule should be represented as a thermal ensemble of many configurations, each weighted by thermodynamic weight.
“A biomolecule is then not to be represented by a single molecular structure, but rather as a thermal ensemble of many configurations, each one weighted by the appropriate thermodynamic weight.”
Quote in the paperSubstantial claim - Premisenone given§ 8. Quantum computing for structural biology
The stable structure of a protein corresponds to the structure yielding the lowest free energy.
“The stable structure of a protein corresponds, in fact, to the structure yielding the lowest free energy.”
Quote in the paperNot a substantial claim - Premisecitation§ 8. Quantum computing for structural biology
Grover's search algorithm can achieve a quadratic speedup for exhaustive search for the optimal solution.
“An example is the quadratic speedup that can be achieved based on an exhaustive search for the optimal solution with Grover's search algorithm [197]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [197] source
Not checked in the free run.
- Interpretationreasoning§ 8. Quantum computing for structural biology
Applying these algorithms to calculate classical thermodynamic averages requires mapping a classical probability distribution onto qubit states, which is hard.
“Hence, applying them to calculate classical thermodynamic averages requires mapping a classical probability distribution onto the qubit states, a task that is hard itself, as we will discuss in the following section.”
Quote in the paperSubstantial claim - Premisereasoning§ 7. Global quantum effects in functional biomolecules
Even within the excitonic approximation, exactly solving the Schrödinger equation for a faithful Hamiltonian of a pigment-protein complex or radical pair is extremely hard with classical algorithms.
“Even within the excitonic approximation, solving exactly the Schrödinger equation for a faithful Hamiltonians describing a pigment-protein complex or a radical pair is extremely hard with classical computing algorithms.”
Quote in the paperSubstantial claim - Premisenone given§ 8. Quantum computing for structural biology
Simulating the classical dynamics of a biomolecule is the cornerstone of several types of biological simulations.
“Once an appropriate force field is available, simulating the classical dynamics of a biomolecule represents the cornerstone of several types of biological simulations.”
Quote in the paperNot a substantial claim - Interpretationreasoning§ 8. Quantum computing for structural biology
Electronic energies remain the cornerstone for calculating the potential of mean force because they are a key contribution to the partition function and thermodynamic quantities.
“Despite this conceptual difference, the electronic energies remain the cornerstone also for calculating the potential of mean forces because they are a key contribution to the partition function and, therefore, to any thermodynamic quantity.”
Quote in the paperNot a substantial claim - Interpretationreasoning§ 7. Global quantum effects in functional biomolecules
Some biomolecular processes are influenced by quantum effects acting on a larger spatial scale.
“Other biomolecular processes are, instead, influenced by quantum effects acting on a larger spatial scale.”
Quote in the paperSubstantial claim - Interpretationreasoning§ 8. Quantum computing for structural biology
The key quantity for reactivity in a thermodynamic ensemble is the free energy calculated from the partition function, not the energy of a single microstate.
“The key quantity is, therefore, not the energy of the microstate of a single configuration, but the free energy calculated from the partition function of all microstates.”
Quote in the paperSubstantial claim - Interpretationreasoning§ 7. Global quantum effects in functional biomolecules
Simulating quantum effects on large spatial scales is much harder than simulating chemical reactions.
“Simulating quantum effects happening on such large spatial scale is much harder than for chemical reactions.”
Quote in the paperSubstantial claim - Premisecitation§ 8. Quantum computing for structural biology
Data-driven approaches can hardly predict the structure of intrinsically disordered proteins.
“It is therefore not surprising that it was recently shown [214] that data-driven approaches can hardly predict the structure of so-called intrinsically disordered proteins”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [214] source
Not checked in the free run.
- Interpretationreasoning§ 9. Quantum computing for data-driven approaches to molecular biology
Very large data sets will be difficult to deal with on currently designed hardware with few physical qubits.
“However, these will be difficult to deal with on currently designed hardware with rather few physical qubits (to be compared to the vast number of bits in a classical computer).”
Quote in the paperSubstantial claim - Premisereasoning§ 9. Quantum computing for data-driven approaches to molecular biology
Genome sequencing can be formulated as finding a Hamiltonian cycle in a graph where DNA segments are vertices connected if their terminal nucleobase sequences overlap.
“By interpreting the DNA segments as vertices of a graph, which are connected if the terminal segments of their nucleobase sequence overlap, genome sequencing becomes equivalent to the problem of finding a Hamiltonian cycle of the graph.”
Quote in the paperSubstantial claim - Interpretationcitation§ 8. Quantum computing for structural biology
Inferring the structure of intrinsically disordered proteins with data-driven approaches is extremely challenging because their conformation is inherently different from any other protein and inference from data lacking this information breaks down.
“Inferring the structure of these proteins based on data-driven approaches is extremely challenging because their conformation is inherently different from any other protein and inference from data lacking this information breaks down.”
Quote in the paperSubstantial claim - Interpretationreasoning§ 10. Conclusions
Approaches for modelling biochemical processes will also allow for modelling of general chemical reactions.
“Accordingly, approaches for modelling biochemical processes will also allow for modelling of general chemical reactions.”
Quote in the paperSubstantial claim - Interpretationreasoning§ 9. Quantum computing for data-driven approaches to molecular biology
It is currently extremely hard to predict whether these algorithms will yield an advantage for problems out of reach of classical hardware.
“It is, therefore, currently extremely hard to predict whether they will yield an advantage when applied to problems that are out of the reach of classical hardware.”
Quote in the paperNot a substantial claim - Premisecitation§ 9. Quantum computing for data-driven approaches to molecular biology
The expressivity boost is not limited to neural networks and has been observed for support vector machines.
“Note that this expressivity boost is not limited to neural networks and has been observed, for instance, for support vector machines.[222,228,229]”
Quote in the paperNot a substantial claim0 of 3 sources checked - Interpretationreasoning§ 10. Conclusions
Simulating these phenomena has the highest prospect of impact by quantum computers.
“Simulating these phenomena has, therefore, the highest prospect of impact by quantum computers.”
Quote in the paperNot a substantial claim - Premisecitation§ 9. Quantum computing for data-driven approaches to molecular biology
When training is carried out classically, it may become hard due to Barren plateaus, especially for large data sets.
“However, the training phase, when carried out classically, may itself become hard due to the emergence of so-called Barren plateaus, especially for large data sets.[230,231]”
Quote in the paperSubstantial claim0 of 2 sources checked - Interpretationreasoning§ 9. Quantum computing for data-driven approaches to molecular biology
Quantum algorithms for data-driven problems can also identify correlations within experimentally collected data.
“Quantum algorithms for solving data-driven problems are not limited to machine learning.These algorithms can also be used to identify correlations within data that are collected experimentally.”
Quote in the paperNot a substantial claim - Premisecitation§ 9. Quantum computing for data-driven approaches to molecular biology
Quantum machine learning algorithms for DNA alignment have been proposed.
“For instance, quantum machine learning algorithms for identifying common patterns between two DNA sequences -a task known as DNA alignment -have been proposed in recent years.[237,238]”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [237] source
Not checked in the free run.
- cites [238]
Not checked in the free run.
- Interpretationreasoning§ 9. Quantum computing for data-driven approaches to molecular biology
One may not expect quantum algorithms based on Grover search to be suitable candidates for demonstrating a practical quantum advantage in the foreseeable future.
“For these reasons, one may not expect quantum algorithms based on the Grover search to represent -at least in the foreseeable futuresuitable candidates for demonstrating a practical quantum advantage.”
Quote in the paperSubstantial claim - Interpretationreasoning§ 9. Quantum computing for data-driven approaches to molecular biology
Methods that use the quantum computer only to boost representation power of a machine-learning model do not suffer from the data-loading limitation because training can be done classically.
“Methods that leverage the quantum computer only for boosting the representation power of the machine-learning model do not suffer, in principle, from this limitation because they can carry out the training process classically.”
Quote in the paperSubstantial claim - Premisecitation§ 9. Quantum computing for data-driven approaches to molecular biology
Quantum neural networks can be more expressive-even exponentially for specific architectures-than classical counterparts.
“For a given number of neurons, quantum neural networks can be more expressiveeven exponentially, for specific network architectures -than their classical counterpart.[225][226][227]”
Quote in the paperNot a substantial claim0 of 3 sources checked - Interpretationreasoning§ 9. Quantum computing for data-driven approaches to molecular biology
Because these algorithms are heuristic, their efficiency must be assessed case by case.
“However, being heuristic, the efficiency of these algorithms must be assessed at a case-by-case level.”
Quote in the paperSubstantial claim - Interpretationnone given§ 8. Quantum computing for structural biology
Data-driven approaches can overcome the steep scaling of explicit classical and quantum simulations.
“Data-driven approaches can overcome the steep scaling of explicit classical and quantum simulations.”
Quote in the paperNot a substantial claim - Interpretationreasoning§ 9. Quantum computing for data-driven approaches to molecular biology
In both cases, quantum hardware is leveraged to solve a classically hard optimization problem with heuristic algorithms.
“In both cases, the quantum hardware is leveraged to solve a classically hard optimization problem with heuristic algorithms.”
Quote in the paperNot a substantial claim - Premisecitation§ 9. Quantum computing for data-driven approaches to molecular biology
Depending on the input data, the data-loading phase may become the bottleneck of the overall simulation, eliminating any practical quantum advantage.
“However, depending on the nature of the input data, this loading phase may become the bottleneck of the overall simulation, therefore eliminating any practical quantum advantage.[224]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [224] source
Not checked in the free run.
- Interpretationreasoning§ 9. Quantum computing for data-driven approaches to molecular biology
Quantum machine learning may become applicable in the future only for data-driven quantum algorithms in which a quantum speedup can be observed already for small data sets.
“A key take-home message of the discussion so far is that quantum machine learning may become applicable, in the future, only for data-driven quantum algorithms in which a quantum speedup can be observed already for small data sets.”
Quote in the paperSubstantial claim - Premisecitation§ 8. Quantum computing for structural biology
Data-driven approaches, such as the AlphaFold deep neural network, can predict a protein's three-dimensional structure from its amino acid sequence.
“A prime example of such an application is the deep neural network AlphaFold.[213] AlphaFold is a specific machine learning algorithm that can predict the three-dimensional structure of a protein using, as input, its amino acid sequence.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [213] source
Not checked in the free run.
- Interpretationreasoning§ 9. Quantum computing for data-driven approaches to molecular biology
This limitation holds for any problem where classical data are mapped onto qubit space, including finding the lowest-energy configuration of a biological macromolecule given a force field.
“This limitation does not only hold for machine learning algorithms, but for any problem where classical data are mapped onto the qubit space, including, among others, the task of finding the lowest-energy configuration of a biological macromolecule given a force field describing the interaction between its atoms.”
Quote in the paperSubstantial claim - Interpretationreasoning§ 9. Quantum computing for data-driven approaches to molecular biology
Heuristic quantum algorithms for optimization problems can be applied to genome sequencing.
“The heuristic quantum algorithms introduced in Section 8 for solving optimization problems can be straightforwardly applied also to this context.”
Quote in the paperSubstantial claim - Interpretationcitation§ 9. Quantum computing for data-driven approaches to molecular biology
With such a limited speedup, a practical advantage will only be observed for problems with very large data sets.
“With such a limited speedup, a practical advantage will only be observed for problems with very large data sets.[239]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [239] source
Not checked in the free run.
- Premisecitation§ 8. Quantum computing for structural biology
Embedding approaches that dissect a quantum system into smaller quantum subsystems can deliver key concepts to meet the challenge of simulating large atomistic structures.
“However, embedding approaches that dissect a quantum system into smaller quantum subsystems, which are then amenable to actual computations, can deliver key concepts to meet this challenge.[209][210][211][212]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [209][210][211]
Not checked in the free run.
- Interpretationreasoning§ 9. Quantum computing for data-driven approaches to molecular biology
At the current stage of hardware development, with quantum computers of at most hundreds of noisy qubits, these algorithms can be validated only on very small data sets.
“At this stage of hardware development, with quantum computers composed of at most hundreds of noisy qubits (see Section 5), these algorithms can be validated only on very small data sets.”
Quote in the paperSubstantial claim - Premisenone given§ 9. Quantum computing for data-driven approaches to molecular biology
Grover search yields only a quadratic speedup over its classical realization.
“As already mentioned above, the Grover search yields only a quadratic speedup over its classical realization.”
Quote in the paperNot a substantial claim - Premisecitation§ 9. Quantum computing for data-driven approaches to molecular biology
Such a superposition step can be realized with a quantum random access memory architecture.
“In principle, such a step can be realized with the quantum realization of the random access memory (RAM) architecture.[223]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [223] source
Not checked in the free run.
- Classified as probably not a substantial claim. 78
- May combine two claims. 82
- The quote only partly states this claim. 2
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone given§ 3. Theoretical foundations: Quantum electronic and vibrational structureIn the limit of a dense, complete atomic basis set, the many-electron wave function can be encoded exactly as a linear superposition of Slater determinants.
“In the limit of a dense, complete atomic basis set -a limit called the complete basis set limit -the many-electron wave function can be encoded exactly as a linear superposition of Slater determinants.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Premisenone given§ Quantum Computing for Molecular Biology**Solving the quantum mechanical equations relevant to molecular biology computationally is very difficult.
“the computational solution of the relevant quantum mechanical equations is very hard.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Premisereasoning§ 1. IntroductionNone of these deficiencies is present in approaches that involve quantum mechanical effects, which are hampered by highly unfavorable scaling with system size.
“By contrast, none of these deficiencies is present in approaches that involve quantum mechanical effects, which are, however, hampered by the highly unfavorable scaling problem with system size.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisereasoning§ 3. Theoretical foundations: Quantum electronic and vibrational structureThe separation into components makes the solution of the Schrödinger equation feasible for not too large molecular structures and allows understanding biomolecular machinery in terms of individual energies assigned to states of molecular players.
“While this separation into components makes the solution of the Schrödinger equation then feasible (at least for not too large molecular structures), it also allows one to piece together and eventually understand biomolecular machinery in terms of individual energies assigned to the states of the molecular players.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone given§ 3. Theoretical foundations: Quantum electronic and vibrational structureThese algorithms rely on wave function approximations which scale polynomially in the number of expansion parameters but are tailored to a specific regime of electron correlation.
“Specifically, they rely on wave function approximations which scale polynomially in the number of expansion parameters but are tailored to a specific regime of electron correlation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ 2. Physical modeling of biological processesIt remains hard to assess a priori the accuracy of a given density functional approximation for a specific molecule not included in the training data.
“it remains hard to assess a priori the accuracy of a given density functional approximation for a specific molecule not included in the training data.[40]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [40] source
Not checked in the free run.
May combine two claims.
Premisecitation§ 1. IntroductionThe curse of dimensionality creates a steep wall that cannot be overcome with traditional computational approaches and limits such attempts to small systems of comparatively few atoms.
“This curse of dimensionality creates a steep wall that cannot be overcome with traditional computational approaches (and therefore limits such attempts to small systems of comparatively few atoms, which represent only segments of biomolecules [23][24][25] ).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [23][24][25]
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based).
Premisenone given§ 1. IntroductionWeak interactions such as van der Waals forces and hydrogen bonds originate from quantum correlations of electrons.
“They originate from the quantum correlations of electrons.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone given§ 2. Physical modeling of biological processesLarge-amplitude motions and long-range effects may be difficult to describe in embedding settings.
“largeamplitude motions and long-range effects may be difficult to describe in such settings.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Premisenone given§ 3. Theoretical foundations: Quantum electronic and vibrational structureIn order to represent the many-electron wave function on hardware, either classical or quantum, it must be discretized.
“In order to represent it on hardware, either classical or quantum, the many-electron wave function must be discretized.”
Quote in the paperSubstantial claimMay combine two claims.
Premisereasoning§ 1. IntroductionForce-field approximations can be combined with classical-mechanics algorithms that do not suffer from the curse of dimensionality and have low polynomial scaling with the number of atoms.
“Such force-field approximations can be combined with algorithms that, being based on classical mechanics, do not suffer from the curse of dimensionality, but have a low polynomial scaling with the number of atoms.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone given§ Quantum Computing for Molecular Biology**Much of biological molecular function can be described with classical mechanics, in which electron-nucleus interactions are replaced by effective classical potentials between atoms or larger units.
“much of molecular function in biology can be understood in terms of classical mechanics, where the interactions of electrons and nuclei have been mapped onto effective classical surrogate potentials that model the interaction of atoms or even larger entities.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisecitation§ 4. Computational foundations: Traditional approachesThe curse of dimensionality restricts practical full-CI applications to molecules with about 20 electrons, which are very small and far smaller than biomolecules.
“The curse of dimensionality limits practical applications of full-CI to molecules with approximately 20 electrons, [65,70] a size that characterizes very small molecules, far smaller than any biomolecule.”
Quote in the paperSubstantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ 3. Theoretical foundations: Quantum electronic and vibrational structureThe basis set expansion of the wave function is often supplemented by factors that depend explicitly on interelectronic distance.
“Accordingly, the basis set expansion of the wave function is often supplemented by factors that depend explicitly on the interelectronic distance [69]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [69] source
Not checked in the free run.
May combine two claims.
Premisereasoning§ 2. Physical modeling of biological processesVery high accuracy can only be achieved for very small molecules; increasing molecular size generally is accompanied by a loss in accuracy for feasibility reasons due to the high computational cost of exact quantum simulations.
“Very high accuracy can only be achieved for very small molecules.Increasing molecular size generally is accompanied by a loss in accuracy for feasibility reasons, due to the high computational cost of exact quantum simulations.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone given§ 2. Physical modeling of biological processesSuch molecular sizes are far smaller than those of functional biological macromolecules embedded in an aqueous phase.
“Obviously, such molecular sizes are far smaller than those of functional biological macromolecules embedded in an aqueous phase.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisereasoning§ 3. Theoretical foundations: Quantum electronic and vibrational structureThe Schrödinger equation can be simplified by invoking the Born-Oppenheimer approximation because nuclear mass is at least three orders of magnitude larger than electron mass, so nuclear dynamics are much slower.
“The Schrödinger equation can be simplified by invoking the Born-Oppenheimer approximation: since the mass of the nuclei is at least three orders of magnitude larger than that of the electrons, the nuclear dynamics are much slower than the electronic ones.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisereasoning§ 3. Theoretical foundations: Quantum electronic and vibrational structureIn all cases, the wave function is the solution of a differential equation in which all variables are coupled by the potential energy operator.
“In all cases, the wave function is the solution of a differential equation in which all variables are coupled by the potential energy operator.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone given§ 1. IntroductionDetailed molecular dynamics simulations rest almost exclusively on classical Newtonian mechanics.
“detailed molecular dynamics simulations rest almost exclusively on classical Newtonian mechanics.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisereasoning§ 3. Theoretical foundations: Quantum electronic and vibrational structureDynamical correlation does not change the qualitative structure of the full-CI wave function but contributes non-negligibly to the electronic energy due to many configurations with very small weights.
“Although they do not alter the qualitative structure of the full-CI wave function, they yield a nonnegligible contribution to the electronic energy because of the sheer number of configurations with very small weights.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisereasoning§ 3. Theoretical foundations: Quantum electronic and vibrational structureFull-CI is needed to describe the resulting quantum correlations completely, leading once more to the emergence of the curse of dimensionality.
“Full-CI is, therefore, needed to describe the resulting quantum correlations completely, leading once more to the emergence of the curse of dimensionality.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Premisereasoning§ 2. Physical modeling of biological processesIn such cases, one resorts to classical models and accepts a reduced accuracy and a loss in transferability.
“In such cases, one resorts to classical models and accepts a reduced accuracy and a loss in transferability.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Premisenone given§ 1. IntroductionElectronic structure is key for quantitative theoretical description and prediction of chemical reactions in terms of reaction energies and activation barriers through the Born-Oppenheimer potential energy surface.
“The electronic structure of molecules is indeed key for the quantitative theoretical description and prediction of chemical reactions in terms of reaction energies and activation barriers through the Born-Oppenheimer potential energy surface (PES; see Figure 1).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Premisenone given§ 1. IntroductionMore detailed simulations of the quantum mechanical equations are very difficult and only possible for a very small number of atoms.
“more detailed simulations of the quantum mechanical equations are very difficult and only possible for a very small number of atoms.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisereasoning§ 3. Theoretical foundations: Quantum electronic and vibrational structureElectron correlation effects are those that impede encoding the wave function as a single determinant and require it to be expressed as a linear superposition of configurations.
“Therefore, electron correlation effects are those that impede encoding the wave function as a single determinant and require it to be expressed as a linear superposition of configurations.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone given§ 3. Theoretical foundations: Quantum electronic and vibrational structureMolecular motion is governed by the laws of quantum mechanics.
“Molecular motion is governed by the laws of quantum mechanics.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisereasoning§ 3. Theoretical foundations: Quantum electronic and vibrational structureThis coupling correlates the motion of quantum particles and renders the solution of the differential equation a daunting computational task for large molecules.
“This coupling correlates the motion of the quantum particles and renders the solution of the differential equation a daunting computational task for large molecules.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone given§ 2. Physical modeling of biological processesA molecular system of a few hundred atomic nuclei can be considered routinely treatable with approximate traditional quantum chemical approaches.
“we may consider the size of a molecular system of a few hundred atomic nuclei to be routinely treatable with approximate traditional quantum chemical approaches.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Interpretationreasoning§ 2. Physical modeling of biological processesThe promise of quantum computations is that a quantum description can be extended to larger atomistic structures and to higher accuracy compared to approximate traditional quantum chemical approaches.
“The promise of quantum computations is that a quantum description can be extended to larger atomistic structures and to higher accuracy (compared to approximate traditional quantum chemical approaches).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone given§ 1. IntroductionOnly detailed quantitative physical simulations together with high-resolution experiments will allow extracting a high-confidence picture of molecular events.
“only detailed quantitative physical simulations -in parallel to detailed experiments with a high spatial and temporal resolution -will allow extracting such a picture with high confidence.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone given§ 3. Theoretical foundations: Quantum electronic and vibrational structureResearch in quantum chemistry has mostly focused on taming the curse of dimensionality with algorithms that trade full-CI accuracy and generality for computational efficiency.
“Research in quantum chemistry has mostly focused on taming the curse of dimensionality with algorithms that trade the full-CI accuracy and generality for computational efficiency.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisenone given§ 3. Theoretical foundations: Quantum electronic and vibrational structureAlready for a molecule with a few dozen atoms, the wave function depends on hundreds of variables, and the Schrödinger equations become extremely hard to solve on classical computers.
“Already for a molecule with a few dozen atoms, the wave function depends on hundreds of variables, and Eqs.(1) and (2) become extremely hard to solve on classical computers.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisereasoning§ 3. Theoretical foundations: Quantum electronic and vibrational structureShort-range dynamical correlation is associated with the short-range electron-electron interaction in the limit of vanishing interelectronic distance.
“Short-range correlations are, instead, associated with the short-range electron-electron interaction, i. e., in the limit of a vanishing interelectronic distance in which the positions of two electrons coalesce.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Premisenone given§ 1. IntroductionReversibility is key to molecular function in biochemistry, causing macromolecules to interact predominantly through non-covalent interactions.
“The fact that reversibility is key to molecular function in biochemistry causes macromolecules to interact predominantly through (many) non-covalent interactions.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Premisenone given§ 3. Theoretical foundations: Quantum electronic and vibrational structureThe interactions in a molecule are very well described by pairwise electrostatic Coulomb potential energies, although they neglect magnetic interactions.
“The interactions are very well described by pairwise electrostatic Coulomb potential energies, although they neglect, for instance, magnetic interactions.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisenone given§ 2. Physical modeling of biological processesWe can describe the quantum mechanical behavior of electrons and nuclei in biomolecular systems in principle, but often not in practice, as such calculation would be too computer-time demanding.
“we can describe the quantum mechanical behavior of electrons and nuclei in biomolecular systems in principle, but often not in practice, as such calculation would be too computer-time demanding.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisereasoning§ 1. IntroductionClassical molecular dynamics simulations provide efficient models and can be rigorously based on quantum mechanics through the Born-Oppenheimer approximation.
“Classical molecular dynamics simulations provide efficient models and can be rigorously based on quantum mechanics (technically speaking, this is possible through the Born-Oppenheimer approximation, which separates electronic and nuclear motions, with the latter being then identified as the atomic motion in classical dynamics).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisereasoning§ 3. Theoretical foundations: Quantum electronic and vibrational structureThe complete basis set limit cannot be reached in numerical simulations that must rely on finite, incomplete basis sets.
“The complete basis set limit cannot be reached in numerical simulations that must necessarily rely on finite, incomplete basis sets.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisenone given§ 1. IntroductionThe underlying model potentials require sophisticated parametrizations, generally omit quantum mechanical effects, lack transferability to other molecule classes, and therefore cannot describe well arbitrary chemical reactions and molecular interactions.
“the underlying model potentials require sophisticated parametrizations, generally omit quantum mechanical effects, lack transferability to other molecule classes, and therefore cannot describe well arbitrary chemical reactions and molecular interactions (if at all).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone given§ 2. Physical modeling of biological processesEmbedding techniques provide a quantum magnifying glass for a cluster of atomic nuclei and electrons considered decisive for the quantum process within a bio-macromolecule.
“embedding techniques have been devised, which provide a quantum magnifying glass for a cluster of atomic nuclei and electrons considered to be decisive for the quantum process within a bio-macromolecule (such as the active site of an enzyme).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisereasoning§ 3. Theoretical foundations: Quantum electronic and vibrational structureLong-range dynamical correlation is associated with London dispersion forces, which describe induced dipolar interactions between molecular fragments from instantaneous electronic polarization.
“longrange correlations are associated with the London dispersion forces, which, qualitatively speaking, describe the induced dipolar interaction between two molecular fragments that result from instantaneous polarization of the corresponding electronic density.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisenone given§ 5. Computational foundations: The promise of quantum simulationAnalog quantum simulators experience decoherence that cannot be suppressed arbitrarily, making formal guaranteed accuracy statements difficult or impossible.
“Yet, since the constituents of analog quantum simulators also experience decoherence -a quantum form of errors -which cannot be suppressed arbitrarily (this is true at present, and may remain so even in the far future), formal guaranteed statements about the overall accuracy of the achieved simulation are difficult if not impossible.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationreasoning§ 4. Computational foundations: Traditional approachesAny outer approximation to the 2-RDM set yields a lower bound on the energy, unlike variational methods.
“we note that any outer approximation to the set will result in a lower bound on the energy, in stark contrast to the situation discussed above for the variational methods.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ 4. Computational foundations: Traditional approachesCoupled cluster (CC) is the established canonical solution to the size-extensivity problem.
“The established canonical solution to this problem is the coupled cluster (CC) method.[72]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [72] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisenone given§ 4. Computational foundations: Traditional approachesCC uses an exponential wave function ansatz with parameters scaling polynomially with system size.
“CC relies on an exponential wave function ansatz that contains a number of parameters that scales polynomially with system size.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone given§ 4. Computational foundations: Traditional approachesTime evolution after an external perturbation may lead to continuous growth of entanglement.
“It is known that the time evolution of a wave function following an external perturbation (usually known as quench in quantum physics, which corresponds most often to an electromagnetic perturbation in chemistry) may lead to a continuous growth of its entanglement.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisecitation§ 4. Computational foundations: Traditional approachesCoulson noted in 1960 that rigorous lower bounds can be obtained because molecular Hamiltonians involve only pairwise interactions, allowing the ground-state energy to be cast as an optimization over the two-particle reduced density matrix (2-RDM).
“It was already noted in 1960 by Coulson [100] that rigorous lower bounds could be obtained by the observation that molecular Hamiltonians only involve pairwise interactions”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [100] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisenone given§ 4. Computational foundations: Traditional approachesThese approximate parametrizations are tailored to two idealized cases: weakly correlated and strongly correlated electronic structures.
“These approximate parametrizations have been tailored to two idealized situations: weakly correlated and strongly correlated electronic structures of molecules.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisecitation§ 5. Computational foundations: The promise of quantum simulationProtein folding is an optimization problem and a candidate for heuristic quantum optimization algorithms.
“A candidate in the biological context is the protein folding problem, which is an optimization problem, for which heuristic quantum optimization algorithms are being investigated.[109,110]”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [109]
Not checked in the free run.
- cites [110] source
Not checked in the free run.
May combine two claims.
Premisecitation§ 4. Computational foundations: Traditional approachesExact characterization of the 2-RDM set is QMA-hard and unlikely to be solved even on a quantum computer.
“Whereas the exact characterization of the set has been shown to be Quantum Merlin Arthur (QMA)-hard (QMA is the quantum analog of the famous class of computational problems known as nondeterministic polynomial time (NP)) and thus unlikely to be solved even on a quantum computer, [103]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [103] source
Not checked in the free run.
May combine two claims.
Interpretationreasoning§ 5. Computational foundations: The promise of quantum simulationQuantum information cannot be copied and is therefore fragile and affected by quantum noise (decoherence), so storage and gate operations on qubits are prone to errors needing correction.
“Quantum information cannot be copied and is therefore much more fragile and affected by quantum noise, the previously mentioned decoherence.Consequently, storage and gate operations on quantum bits are prone to errors that need to be corrected.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisenone given§ 4. Computational foundations: Traditional approachesThe hierarchy of truncated CI approximations is ad hoc and does not guarantee inclusion of all truly important configurations.
“We note that the emerging hierarchy of approximations is an ad hoc choice that does not guarantee that all truly important configurations are actually included in the truncated expansion of configurations.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisecitation§ 5. Computational foundations: The promise of quantum simulationFeynman noted that classical simulation of a quantum system generally incurs exponential overhead due to the curse of dimensionality, while building a simulator from quantum mechanical constituents could circumvent this and achieve efficient simulation.
“It was Feynman [108] who noticed that using a classical system, e. g. a traditional computer, to simulate a quantum system will in general result in an exponential overhead in the time required for the simulation due to the curse of dimensionality, but that building a simulator (or computer) directly from quantum mechanical constituents (henceforth called a quantum simulator or, if very versatile,”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [108] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisenone given§ 4. Computational foundations: Traditional approachesDesigning algorithms to accurately include weak correlation effects on top of DMRG or FCIQMC remains an open challenge in computational chemistry.
“In fact, designing algorithms to include accurately weak correlation effects on top of a DMRG or FCIQMC simulation remains an open challenge of computational chemistry.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisenone given§ 4. Computational foundations: Traditional approachesSelected CI methods can target up to 100 electrons, a major advance for chemistry but still a severe limitation for large biomolecules.
“In practice, selected CI methods can target up to 100 electrons, which is a huge leap forward for chemical applications, but still represents a severe limitation for generally large biomolecules.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone given§ 4. Computational foundations: Traditional approachesDFT has become the workhorse of computational molecular quantum mechanics.
“Finally, we emphasize that DFT represents a route to solve the electronic structure problem that has become the workhorse of computational molecular quantum mechanics.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationreasoning§ 5. Computational foundations: The promise of quantum simulationThe state of n qubits requires 2^n probability amplitudes to describe its superposition, so classical simulation or storage requires more than 2^n bits and exponential overhead.
“hence also of quantum bits, posits that the state of n qubits requires the description with 2 n probability amplitudes (i.e., expansion coefficients; see Figure 3) describing the precise superposition of the strings of n bits (thereby making up the ' state' or ' wave function' of the n qubits).Simulating or even just storing the amplitudes on a standard computer, therefore, requires more than 2 n”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisereasoning§ 4. Computational foundations: Traditional approachesExcited-state solutions are important for describing biomolecular systems after light excitation and provide information related to spectroscopic techniques.
“These solutions are not only important to describe a biomolecular system after light excitation, but they also offer information that can be related to spectroscopic techniques and, hence, to experimental spectroscopies that identify specific states of biomolecular machinery.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisereasoning§ 5. Computational foundations: The promise of quantum simulationThe number of physical qubits required for first viable algorithms is extremely large and not expected in the near future, only medium or long term.
“the number of physical qubits required for the first viable algorithms to run is extremely large and therefore not expected to be reached in the near future, but only in the medium or long term.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationreasoning§ 4. Computational foundations: Traditional approachesBecause the wave function is normalized, all other determinants have comparatively small weight.
“Since the wave function is normalized to a fixed value (usually one), all other determinants will have a comparatively small weight.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisecitation§ 5. Computational foundations: The promise of quantum simulationHybrid quantum-classical algorithms partition workload between classical and quantum computers and are important for NISQ hardware.
“An important class of algorithms for NISQ hardware are socalled hybrid quantum-classical algorithms that partition the computational workload between a classical and a quantum computer.[124,125]”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
Premisecitation§ 4. Computational foundations: Traditional approachesMatrix product states, a class of TNSs, reliably approximate the electronic Schrödinger equation in many numerical studies, and their parameters can be efficiently optimized with DMRG.
“In many numerical studies it turned out that a specific class of TNSs, so-called matrix product states, reliably approximate the electronic Schrödinger equation, [65,[81][82][83][84][85][86][87][88][89][90] whose parameters can be very efficiently optimized with an iterative algorithm known as density matrix renormalization group (DMRG) approach.[91,92]”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
Premisecitation§ 5. Computational foundations: The promise of quantum simulationRecent work shows only constant overhead is necessary, with logical qubits proportional to physical ones, suggesting no fundamental obstacle to a perfect digital quantum simulator.
“Whereas recently, it has been shown that only a constant overhead is necessary (i.e. the number of logical qubits is proportional to the number of physical ones) [117] and one may therefore generally see no fundamental obstacle to building a perfect digital quantum simulator in the future”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [117] source
Not checked in the free run.
May combine two claims.
Interpretationreasoning§ 4. Computational foundations: Traditional approachesThere can be no rigorous closeness estimate for variational methods because the infinite basis set limit cannot be reached and the ansatz samples only a subset of states.
“there can ultimately not be any rigorous closeness estimate of such methods (as the infinite basis set limit cannot be reached in practice) or the ansatz within a given basis set only samples a subset of the states”
Quote in the paperNot a substantial claimMay combine two claims.
Premisecitation§ 4. Computational foundations: Traditional approachesTruncated CI is not size extensive: its energy does not scale linearly with electron number, making reliable comparison of molecules with different electron counts impossible.
“The key limitation of truncated CI (by contrast to full-CI), however, is that it is not size extensive, i. e. the corresponding energy does not scale linearly with the number of electrons, [71] which makes it impossible to reliably compare the energy of molecules with different numbers of electrons.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [71] source
Not checked in the free run.
May combine two claims.
Interpretationreasoning§ 5. Computational foundations: The promise of quantum simulationHamiltonians in quantum chemical and quantum biological contexts have drastically more irregular discretized interactions than those in quantum physical problems, so tunability is a key requirement for analog simulators.
“The key difference between Hamiltonians relevant in quantum physical problems and those appearing in quantum chemical and quantum biological contexts is that the (discretized) interaction is drastically more irregular in the latter case than in the former one.Tunability is, therefore, a key requirement of an analog quantum simulator for quantum chemical and quantum biological simulations.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone given§ 4. Computational foundations: Traditional approachesIt is reasonable to expect that the weight of other configurations decreases as their departure from the Hartree-Fock determinant increases.
“Moreover, it is reasonable to expect that the weight of the other configurations will decrease as their departure from the Hartree-Fock determinant increases.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone given§ 4. Computational foundations: Traditional approachesCCSD(T) has become the de facto reference method for weakly correlated electronic wave functions, reaching chemical accuracy of about 1 kcal/mol.
“Specifically, CC with singles, double, and perturbative triple excitations, abbreviated CCSD(T), has become the de facto reference method for calculating weakly correlated electronic wave functions in order to reach chemical accuracy of about 1 kcal/mol.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Interpretationreasoning§ 6. Local quantum effects in biochemical processesThe biochemical problem of a local reaction can be reformulated as a purely chemical problem, so solution approaches from chemistry transfer to biochemistry.
“the biochemical problem has been reformulated as a purely chemical problem, and all developed solution approaches in the chemical context automatically transfer to the biochemical application.”
Quote in the paperNot a substantial claim- Rests on an assumption: Chemical reactions of interest involve only a small number of atoms, with the rest of the biomolecular environment acting as a spectator.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisecitation§ 5. Computational foundations: The promise of quantum simulationVQE is the most prominent hybrid algorithm for electronic structure, providing a variational heuristic for upper-bounding ground-state energy.
“The most prominent example of this class of algorithms relevant for electronic structure calculations is the variational quantum eigensolver (VQE), which presents a variational (and thus heuristic) algorithm to upper bounding the ground state energy problem.[126][127][128]”
Quote in the paperNot a substantial claim0 of 3 sources checkedClassified as probably not a substantial claim. May combine two claims.
Premisenone given§ 4. Computational foundations: Traditional approachesSome biological processes are driven by absorption of electromagnetic radiation and involve electronically excited state surfaces.
“However, some biological processes are driven by the absorption of electromagnetic radiation.In this case, the reaction involves the surface of an electronically excited state”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationreasoning§ 5. Computational foundations: The promise of quantum simulationBuilding a simulator directly from quantum mechanical constituents remedies this because they adhere to the same quantum mechanical composition rule and are suited to simulating quantum systems.
“This is precisely remedied by building a simulator directly from quantum mechanical constituents, since those evidently adhere to the same quantum mechanical composition rule and, therefore, offer a computational platform perfectly suited to the task of simulating a quantum system.”
Quote in the paperSubstantial claimMay combine two claims.
Premisereasoning§ 5. Computational foundations: The promise of quantum simulationThe ground-state energy problem is QMA-hard, so no general exponential speedup is expected, making the approach heuristic.
“Note, however, that the ground state energy problem is known to be QMA-hard and it might, therefore, be expected that no general exponential speedup will be obtained, rendering this again a heuristic algorithm.”
Quote in the paperSubstantial claimMay combine two claims.
Premisecitation§ 4. Computational foundations: Traditional approachesDFT can target systems two orders of magnitude larger than selected CI, but has uncontrollable error for a specific biomolecule.
“Surely, other approximate quantum approaches that do not rely on expansions of configurations -most importantly contemporary methods of Density Functional Theory (DFT; see below) -can target systems that are two orders of magnitude larger, but they also come with an uncontrollable error for a specific biomolecule under consideration.[40]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [40] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisereasoning§ 5. Computational foundations: The promise of quantum simulationAnalog quantum simulators are purpose-built machines that mimic interactions and behavior of the system to be simulated, and are not meant to be universal computing machines.
“Analog quantum simulators are more akin to purpose-built machines that through their build-up mimic the interactions and, therefore, the behavior of the system to be simulated.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone given§ 4. Computational foundations: Traditional approachesSingle-reference methods such as truncated CI or CC can become inaccurate when the full-CI wave function is not dominated by a single configuration.
“Approaches such as truncated CI or CC -usually referred to as single-reference methods, because they rely on a single configuration, the Hartree-Fock one, as a reference -can become inaccurate as soon as the full-CI wave function is not dominated by a single configuration.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisereasoning§ 4. Computational foundations: Traditional approachesVariational methods such as Hartree-Fock, full-CI, and DFT restrict the minimization and yield only an upper bound on the true ground-state energy.
“and that methods that optimize over an ansatz (variational methods) such as Hartree-Fock, full-CI, DFT, restrict the minimization and always lead only to an upper bound on the true ground state energy.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ 5. Computational foundations: The promise of quantum simulationQuantum algorithm research splits into fault-tolerant algorithms and NISQ algorithms for devices with dozens to thousands of physical qubits lacking complete fault tolerance.
“Therefore, research on quantum algorithms splits, on the one hand, into algorithms for fault-tolerant quantum computers, which we may think of as a future perfect quantum computer, and, on the other hand, into algorithms for nearterm or noisy-intermediate stage quantum (NISQ) [120] devices of dozens to thousands of physical qubits, that are characterized by the absence of complete fault-tolerance.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [120] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ 4. Computational foundations: Traditional approachesModern full-CI-type methods have extended full-CI to systems with about 100 electrons.
“For such multi-reference cases, modern full-CI-type methods [65,73] have made it possible to push the limits of full-CI to systems with approximately 100 electrons.”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
Premisecitation§ 4. Computational foundations: Traditional approachesEstimating the accuracy of approximate functionals is often impossible, preventing quantification and systematic improvement of DFT accuracy, which is the major drawback of contemporary DFT.
“Estimating the accuracy of approximate functionals is often impossible, [40] which prevents quantifying and systematically improving the accuracy of a DFT calculation, which is the major drawback of contemporary DFT.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [40] source
Not checked in the free run.
May combine two claims.
Interpretationreasoning§ 5. Computational foundations: The promise of quantum simulationThe classical composition rule is weaker than the quantum mechanical one, so only a subset of possible quantum states of N qubits can be represented by N classical counterparts.
“In fact, the classical composition rule is weaker than the quantum mechanical.This means, in practice, that only a subset of the possible quantum mechanical states of N qubits can be represented by N of their classical counterparts.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisereasoning§ 4. Computational foundations: Traditional approachesMany approximate methods aim to find wave function parametrizations that approximate full-CI while using a number of parameters scaling polynomially with system size.
“The key idea behind many of these approximations is to identify wave function parametrizations that can approximate full-CI while being defined by a number of parameters that scales polynomially with the system size.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisenone given§ 8. Quantum computing for structural biologyAny biological process cannot be considered isolated; it occurs at about room temperature and involves continuous energy exchange with the environment.
“At this point, it is important to highlight that any biological process cannot be considered an isolated process.In fact, it happens at about room temperature and involves a continuous energy exchange with the environment (for instance, the cell in which a protein is located).”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationnone given§ 7. Global quantum effects in functional biomoleculesFor both light harvesting and magnetoreception, quantum mechanical effects affect the interaction between molecules (chromophores or unpaired electrons).
“For both phenomena, quantum mechanical effects affect the interaction between molecules -the chromophores, for light-harvesting, and the unpaired electrons, for magnetoreception.”
Quote in the paperSubstantial claimMay combine two claims.
Premisenone given§ 8. Quantum computing for structural biologyThe three-dimensional structure of a protein can be reliably predicted with force fields because it is mostly determined by non-covalent interactions between amino acid residues.
“The three-dimensional structure of a protein can be reliably predicted with force fields because it is mostly determined by the non-covalent interactions between the amino acid residues of the protein.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone given§ 8. Quantum computing for structural biologyAll these optimization algorithms can in principle be applied to biochemical problems.
“All these classes of optimization algorithms can be, in principle, applied to biochemical problems such as those mentioned above.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing).
Premisecitation§ 7. Global quantum effects in functional biomoleculesMolecular vibrations, through excitonic coupling, may enhance the coherence lifetime.
“it has been argued that molecular vibrations, through their coupling with the electronic excitation (usually referred to as excitonic coupling), may enhance the coherence lifetime by quantum coherences.[166][167][168]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [166][167][168]
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Interpretationreasoning§ 8. Quantum computing for structural biologyFor sufficiently long propagation times, the protein will evolve into its most stable conformation, yielding the solution to the protein folding problem.
“For sufficiently long propagation times, the protein will evolve into its most stable conformation, thereby yielding the solution to the protein folding problem.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisecitation§ 8. Quantum computing for structural biologyQuantum computing realizations of the Monte-Carlo algorithm exist and may be applied to calculate thermal averages via sampling.
“Quantum computing realizations of the Monte-Carlo algorithm exist, [183] and so it may be argued that they can be applied to calculate thermal averages via sampling techniques.[184][185][186]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [183][184][185]
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). The quote only partly states this claim.
Interpretationreasoning§ 7. Global quantum effects in functional biomoleculesThe discrepancy between semiclassical and quantum-mechanical radical pair lifetimes has been taken as an indication that quantum mechanical effects play a key role in magnetoreception.
“As for light harvesting, this has been taken as an indication that quantum mechanical effects play a key role in magnetoreception.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationreasoning§ 8. Quantum computing for structural biologyDescribing non-covalent interactions with quantum approaches is impractical and superfluous.
“Although these interactions can be described with the quantum approaches presented in Section 5, such a route is both impractical and superfluous.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationnone given§ 7. Global quantum effects in functional biomoleculesCondensing all electrons of a chromophore into a two-level quantum system drastically reduces Hamiltonian dimensionality and complexity, but at a huge loss of detail and resolution.
“Condensing all the electrons of a chromophore into a two-level quantum system drastically reduces the Hamiltonian dimensionality and, consequently, the complexity of solving the corresponding quantum equations, but at a huge loss in terms of detail and resolution.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Chromophores can be approximated as two-level quantum systems (excitons) for modeling EET.
May combine two claims.
Premisecitation§ 7. Global quantum effects in functional biomoleculesPilot experimental realizations of quantum simulators for light-harvesting systems have been proposed, but they are limited to very simple excitonic Hamiltonians.
“As a matter of fact, some pilot experimental realizations of quantum simulators for light-harvesting systems have been proposed in recent years, [175,176] although they are limited to very simple excitonic Hamiltonians.”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims. The quote only partly states this claim.
Interpretationnone given§ 7. Global quantum effects in functional biomoleculesIn light harvesting and magnetoreception, quantum effects span the whole molecule.
“In contrast to the chemical reactions described in the previous section, quantum effects span, in this case, the whole molecule.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Premisenone given§ 8. Quantum computing for structural biologyThese algorithms assume that the distribution function can be encoded as the probability distribution of a many-body wave function.
“However, these algorithms assume that the distribution function can be encoded as the probability distribution of a many-body wave function (see Section 3).”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Premisecitation§ 8. Quantum computing for structural biologyQuantum tunneling is thought to explore the energy landscape more efficiently and avoid local minima.
“The idea is that quantum tunneling will explore the complicated energy landscape of this model more efficiently and, therefore, avoid converging into local minima.[203,204]”
Quote in the paperSubstantial claim0 of 2 sources checkedMay combine two claims.
Premisecitation§ 8. Quantum computing for structural biologyClassical simulations can target much larger molecules than quantum mechanical simulations, making folding simulations of small fast-folding proteins possible.
“Not being affected by the curse of dimensionality, classical simulations can target much larger molecules compared to quantum mechanical simulations so that folding simulations of small fast-folding proteins are possible.[187][188][189]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [187][188][189]
Not checked in the free run.
May combine two claims.
Premisecitation§ 8. Quantum computing for structural biologyPolynomial-time quantum algorithms are not expected for NP-hard problems, but more modest speedups might be achievable.
“Whereas polynomial-time quantum algorithms are not expected for NPhard problems, [196] like general optimization problems, more modest speedups, still significant in practice, might be achievable.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [196] source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
Interpretationreasoning§ 8. Quantum computing for structural biologyThis limited exploration may indicate that these quantum algorithms are promising candidates for molecular biology applications.
“On the one hand, this may be taken as an indication that these quantum algorithms may be promising candidates for molecular biology applications.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ 8. Quantum computing for structural biologyIt has been proposed to reformulate finding the most favourable reaction pathways as an optimization problem and solve it with quantum annealing.
“For instance, it was proposed in Ref. [204] to reformulate the problem finding the most favourable reaction pathways as an optimization problem, and to solve it with quantum-annealing algorithms.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [204] source
Not checked in the free run.
May combine two claims.
Premisereasoning§ 7. Global quantum effects in functional biomoleculesIn both light harvesting and magnetoreception, the many-body Hamiltonians depend on more than 100 particles, which is out of reach of classical simulation strategies.
“In both cases, this results in many-body Hamiltonians depending on more than 100 particles, which is out of the reach of the classical simulation strategies described in Section 3.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ 8. Quantum computing for structural biologyThe potential of mean force generalizes the PES to thermal systems.
“Typically, the potential of mean forces [181] is then considered, which generalizes the concept of PES to thermal systems.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [181] source
Not checked in the free run.
May combine two claims.
Interpretationreasoning§ 8. Quantum computing for structural biologySolving folding as an optimization problem yields only the final structure (lowest free energy) and does not provide insights into the physical dynamics of folding.
“Solving folding as an optimization problem yields only the final structure, corresponding to the lowest (free) energy, but this procedure does not provide any insights into the physical dynamics of the folding process itself.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisecitation§ 8. Quantum computing for structural biologyQAOA is noteworthy and currently under in-depth investigation.
“In the latter category, the quantum approximate optimization algorithm (QAOA) [198] is noteworthy and is currently under indepth investigation.[199][200][201][202]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [198][199][200]
Not checked in the free run.
May combine two claims.
Premisenone given§ 8. Quantum computing for structural biologyA small polypeptide may contain a few dozen atoms and a few hundred electrons, making it too large for classical quantum chemical calculations.
“A small polypeptide may contain a few dozen atoms and a few hundred electrons and is, therefore, too large to be targeted by classical quantum chemical calculations.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone given§ 8. Quantum computing for structural biologyQuantum annealing solves quadratic binary optimization by mapping it to finding the ground state of an Ising Hamiltonian.
“Another example of heuristic algorithms is quantum annealing, which solves a quadratic binary optimization by mapping it onto the equivalent problem of calculating the ground state configuration of an Ising Hamiltonian.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisecitation§ 8. Quantum computing for structural biologyAlgorithms to calculate the partition function of quantum systems on quantum hardware have been proposed, but extensions to compute classical thermal averages are still scarce.
“While algorithms to calculate the partition function of quantum systems on quantum hardware have been proposed, [182] which is not surprising in view of the quantum simulates quantum principle introduced above, extensions of these schemes to compute classical thermal averages are still scarce.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [182] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone given§ 7. Global quantum effects in functional biomoleculesLarge amplitude motions of solvated proteins are governed by dynamic electron correlation effects.
“large amplitude motions of solvated proteins are, at their very heart, governed by dynamic electron correlation effects.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone given§ 7. Global quantum effects in functional biomoleculesAchieving such stability is particularly hard in digital quantum computing.
“As we display Figure 5, achieving such stability is particularly hard in digital quantum computing.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisenone given§ 7. Global quantum effects in functional biomoleculesClassical surrogate potentials can often model large amplitude motions of solvated proteins, but not always.
“While these can often be well modelled by classical surrogate potentials, this is not always the case.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisenone given§ 7. Global quantum effects in functional biomoleculesBoth the efficiency of EET in pigment-protein complexes and the radical pair lifetime can be predicted by solving the time-dependent Schrödinger equation for the corresponding Hamiltonian.
“In fact, both the efficiency of the EET process in pigmentprotein complexes and the lifetime of the radical pair can be predicted by solving the time-dependent Schrödinger equation for the corresponding Hamiltonian.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ 7. Global quantum effects in functional biomoleculesThe lifetime of electronic coherences may not be long enough to affect the EET rate.
“Although it was later observed that the lifetime of electronic coherences may not be long enough to have an effect on the EET rate, [164,165]”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
Premisereasoning§ 7. Global quantum effects in functional biomoleculesThe electronic wave functions of light-harvesting and magnetoreception systems depend on thousands of electrons, making simulation extremely challenging for both classical and quantum computers.
“The electronic wave functions of these systems depend on thousands of electrons, and this makes applying the theory described in Section 3 extremely challenging for both classical and quantum computations.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Interpretationnone given§ 10. ConclusionsAnalog quantum simulation does not admit rigorous approximation bounds yet aims to give an accurate qualitatively reliable simulation for a long propagation time.
“The analog quantum simulation does not admit rigorous approximation bounds yet aims to give an accurate qualitatively reliable simulation for a long propagation time.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Interpretationnone given§ 10. ConclusionsMoving to larger structures with an effectively cured curse of dimensionality, biocomputations face solving a hard classical computational problem, often an optimization problem such as protein folding.
“Moving to even larger structures with an effectively cured curse of dimensionality, biocomputations are now faced with solving a still hard, but now entirely classical, computational problem, often in the form of an optimization problem, e. g. in protein folding.”
Quote in the paperNot a substantial claim- Rests on an assumption: Classicality emerges via decoherence due to the large size of most biomolecules and the relatively high temperatures of living organisms.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Interpretationnone given§ 10. ConclusionsIt seems possible that quantum computers might become a supplement and accelerator of machine learning methods.
“Here, it seems possible that quantum computers might become a supplement and accelerator of machine learning methods.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisecitation§ 8. Quantum computing for structural biologyIntrinsically disordered proteins have only a small fraction of their amino acid sequence organized into a well-defined three-dimensional structure, while the rest is inherently dynamical and disordered.
“intrinsically disordered proteins, [215] in which only a small fraction of the amino acid sequence is organized into a well-defined three-dimensional structure, while the rest of the protein is inherently dynamical and disordered.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [215] source
Not checked in the free run.
May combine two claims.
Premisenone given§ 9. Quantum computing for data-driven approaches to molecular biologyFormal guarantees of quantum speedup over classical counterparts might be available for these algorithms, but they require preparing qubits in a linear superposition with coefficients depending on the input data set.
“Formal guarantees of their quantum speedup over their classical counterpart might be available for these algorithms, but they require, as the initial step, preparing the qubits in a linear superposition with coefficients that depend on the input data set.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
Interpretationreasoning§ 10. ConclusionsThe same requirement applies more generally to important classical computational problems in the life sciences, ranging from genomics to patient data from imaging or sensory data.
“The same is true more generally for important classical computational problems in the life sciences, ranging from genomics to patient data from, e. g., imaging or sensory data such as from wearable devices.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationcitation§ 8. Quantum computing for structural biologyPhysical modeling such as first-principles simulations does not suffer from these limitations by construction, but many practical challenges of simulating intrinsically disordered proteins with classical algorithms remain.
“Physical modeling such as first-principles simulations does not suffer from these limitations by construction, but many practical challenges of simulating intrinsically disordered proteins with classical algorithms remain.[216]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [216] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisenone given§ 10. ConclusionsThere is a long list of quantum computing approaches for optimization problems, from proven quadratic Grover speedup for exhaustive search to tailored algorithms for fault-tolerant computers to heuristic approaches for near-term quantum devices.
“From a proven quadratic Grover speedup for exhaustive search strategies to tailored algorithms to be run on fault-tolerant computers, to the heuristic approaches for near-term quantum devices, there is a long list of approaches for this class of problems”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Premisecitation§ 9. Quantum computing for data-driven approaches to molecular biologyGenome sequencing requires reconstructing the nucleobase sequence of an organism from small portions of the full DNA sequence.
“For instance, genome sequencing requires reconstructing the nucleobase sequence of an organism based on small portions of the full DNA sequence.[232]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [232] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Interpretationreasoning§ 10. ConclusionsApproaches for protein simulation will also be applicable in the context of polymer physics.
“For instance, approaches for protein simulation will also be applicable in the context of polymer physics.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone given§ 10. ConclusionsThe specifics of optimization problems in biomolecular sciences require a targeted and in-depth understanding of the type of optimization problem and a tailored solution.
“Nevertheless, the specifics of the optimization problems in biomolecular sciences require a targeted and in-depth understanding of the type of optimization problem as well as a tailored solution.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
Interpretationnone given§ 9. Quantum computing for data-driven approaches to molecular biologyOther applications of quantum machine learning algorithms may yield a practical quantum advantage in the future.
“Other applications of quantum machine learning algorithms may, in principle, yield a practical quantum advantage in the future.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone given§ 10. ConclusionsQuantum mechanical simulations are essential when simulating biochemical processes that are accompanied by the creation of new chemical bonds.
“Quantum mechanical simulations are essential when simulating biochemical processes that are accompanied by the creation of new chemical bonds.”
Quote in the paperNot a substantial claim- Rests on an assumption: The living world is governed by quantum physics.
Probably not a substantial claim: may not pass S3 (load-bearing).
Interpretationreasoning§ 8. Quantum computing for structural biologyThe accuracy of machine learning for genuinely new instances depends on its transferability to unseen data (generalization power), which is extremely hard to estimate a priori.
“However, since the former make predictions based on previously learned data, the accuracy of machine learning for genuinely new instances depends on its transferability to these unseen input data -a property that is usually referred to as generalization power, which is extremely hard to estimate a priori.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
Interpretationnone given§ 10. ConclusionsQuantum effects may be crucial also in larger functional biomolecules, where they shape classical effective descriptions and require a more targeted use of quantum computing at the quantum-classical barrier.
“However, we also discussed how quantum effects may be crucial also in larger functional biomolecules, where quantum effects shape classical effective descriptions and require a more targeted use of quantum computing at this quantum-classical barrier.”
Quote in the paperNot a substantial claim- Rests on an assumption: The living world is governed by quantum physics.
- Rests on an assumption: Classicality emerges via decoherence due to the large size of most biomolecules and the relatively high temperatures of living organisms.
May combine two claims.
Interpretationnone given§ 9. Quantum computing for data-driven approaches to molecular biologyQuantum computing may boost machine learning in two respects: speeding up training and making algorithms more expressive to predict more complex functions.
“Quantum computing may boost machine learning in two respects.First, it can speed up the training process.Second, it can make the algorithm more expressive in order to be able to predict more complex functions.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone given§ 8. Quantum computing for structural biologyLocal interactions between amino acids drive the protein toward the lowest-energy conformation during folding, as highlighted by the folding funnel metaphor.
“The local interactions between amino acids drive, while the protein folds, the protein toward the lowestenergy conformation, as highlighted by the famous”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationreasoning§ 9. Quantum computing for data-driven approaches to molecular biologyThis makes the training process computationally hard and eradicates a quantum speedup.
“This makes the training process itself a computationally hard problem and therefore eradicates a quantum speedup.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Interpretationreasoning§ 10. ConclusionsThe first-principles nature of the quantum mechanical basis of the physical modelling approach makes the methods discussed applicable to other branches of molecular and materials science.
“We emphasize that the first-principles nature of the quantum mechanical basis of the physical modelling approach makes the methods discussed in this work also applicable to other branches of molecular and materials science.”
Quote in the paperSubstantial claim- Rests on an assumption: The living world is governed by quantum physics.
Probably not a substantial claim: may not pass S2 (checkable).
Interpretationreasoning§ 10. ConclusionsQuantum computing might supplement classical computers for these optimization problems.
“Also here, quantum computing might come to supplement classical computers.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationreasoning§ 9. Quantum computing for data-driven approaches to molecular biologyOtherwise, either loading classical data onto quantum hardware or carrying out classical optimization will become the main bottleneck, nullifying any quantum advantage.
“Otherwise, either loading the classical data on quantum hardware or carrying out the classical optimization will become the main bottleneck, nullifying any quantum advantage.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationreasoning§ 10. ConclusionsDigital simulation tracks a property with high accuracy, but only for a shorter period of time due to stringent hardware requirements of fault-tolerant quantum computation.
“The digital simulation, by contrast, will track the property with high accuracy, yet only for a shorter period of time due to the stringent hardware requirements of fault-tolerant quantum computation.”
Quote in the paperSubstantial claimMay combine two claims.
Premisecitation§ 9. Quantum computing for data-driven approaches to molecular biologyRecently proposed quantum algorithms for DNA sequencing and for identifying the most probable binding site of a transcription factor to DNA exist.
“This is the case of the recently proposed quantum algorithm for DNA sequencing [240,241] and for identifying the most probable binding site of a transcription factor to DNA.[242]”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
Interpretationcitation§ 10. ConclusionsQuantum technologies such as quantum sensing might enhance the quality of imaging data of biomolecular structures and improve the quality of data for further classical or quantum computations.
“More generally, quantum technologies, such as quantum sensing, [243] might enhance the quality of imaging data of biomolecular structures (see e. g.Ref. [244]) and, therefore, improve the quality of the data on which further classical or quantum computations would be based.”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisecitation§ 9. Quantum computing for data-driven approaches to molecular biologyFinding a Hamiltonian cycle is NP-hard classically, though efficient heuristic classical solutions have been developed.
“This problem is known to be NP-hard classically, [233,234] although efficient heuristic classical solutions to it have been developed over the years.[235,236]”
Quote in the paperNot a substantial claim0 of 4 sources checkedMay combine two claims.
Premisecitation§ 9. Quantum computing for data-driven approaches to molecular biologyQuantum realizations of principal components analysis and support vector machine have been derived.
“The first advantage has been leveraged in deriving the quantum realization of the principal components analysis algorithm [221] and of a support vector machine.[222]”
Quote in the paperSubstantial claim0 of 2 sources checked
The authors state this as an assumption.
The number of molecular orbitals is proportional to the number of electrons.
“Let us also assume that N orb is proportional to N ele .”
The paper relies on this without support.
The strength of electron correlation is qualitatively determined by the number of configurations with non-negligible expansion coefficients.
“Qualitatively speaking, the larger the number of configurations with non-negligible expansion coefficients, the stronger the correlation effects will be.”
The paper relies on this without support.
Strong and weak correlation effects often coexist in a molecular system.
“Unfortunately, strong and weak correlation effects often coexist in a molecular system and, therefore, these methods must be combined in accurate molecular simulations.”
The paper relies on this without support.
Even for complex molecules with several dozen atoms, electronic correlation is rarely strong for more than 100 electrons.
“Even for complex molecules with several dozen atoms, electronic correlation is rarely strong for more than 100 electrons.”
The authors state this as an assumption.
In selected configuration interaction, the full-CI expansion remains highly sparse even when not dominated by a single configuration, with negligible coefficients in overwhelming majority.
“Selected configuration interaction methods rely on the assumption that, although not being dominated by a single configuration, the full-CI expansion remains highly sparse so that the number of negligible expansion coefficients C i 1 ;...;i Nele (see Figure 3) is in overwhelming majority.”
The paper relies on this without support.
Chemical reactions of interest involve only a small number of atoms, with the rest of the biomolecular environment acting as a spectator.
“The key feature exploited in this context is the spatial locality of chemical reactions; i. e., they involve comparatively few atoms that are involved in dissociation and association (bond-breaking and bond-formation) processes.The huge rest of the biomolecular machinery is treated as a spectator environment in a given chemical reaction step.”
The authors state this as an assumption.
For QPE to provide explicit error control, the initial state has sufficient overlap with the final state.
“provided that the initial state prepared features sufficient overlap with the final state”
The authors state this as an assumption.
Chromophores can be approximated as two-level quantum systems (excitons) for modeling EET.
“In these Hamiltonians, the chromophores are approximated as quasiparticles, the excitons, with two quantum levels each, one corresponding to the electronic ground state and the other one to the excited state.”
The paper relies on this without support.
The living world is governed by quantum physics.
“The living world is built from atoms and molecules and, therefore, it is clearly governed by quantum physics.”
The paper relies on this without support.
Classicality emerges via decoherence due to the large size of most biomolecules and the relatively high temperatures of living organisms.
“Due to the large size of most biomolecules and the relatively high temperatures of living organisms, classicality emerges via the process of decoherence.”
The paper relies on this without support.
Full quantum mechanical simulations are affected by the curse of dimensionality when simulated with classical computers.
“because full quantum mechanical simulations are affected by the curse of dimensionality when simulated with classical computers.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Quantum computers have been proposed to simulate quantum systems efficiently.
“By exploiting their quantum mechanical properties, quantum computers have been proposed to simulate quantum systems efficiently [9–13].”
From Drug design on quantum computers (2024) · cites this paper as [13]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Full-CI configuration count omits spin orbitals
MinorThe caption says each molecular orbital yields two spin orbitals, but then counts configurations by choosing electrons from only the N orb molecular orbitals. On its own definitions, the available spin-orbital set has 2 N orb elements.
“Therefore, as shown in the upper part of the figure, the overall number of terms included in the linear combination is equal to the number of subsets of N ele elements of the molecular orbital set, which contains N orb elements.”
“From each molecular orbital, two spin orbitals, one for spin-up and one for spin-down electrons, are constructed.”
The citation lists haven’t been fetched yet
References 244 · Cited by 93
Research works printed but not linked: 7
- Drenth J., 2007, Principles of Protein X-Ray Christallography
- 10.1103/RevModPhys.79.291 · DOI · Paper page
- Wouters S., 2013, Eur. Phys. J. D, 31, 272
- Bourzac K., 2017, Chem. Eng. News, 95, 43
- Dykstra C. E., 2005, Theory and applications of computational chemistry
- 10.1021/acs.chemrev.5b00700 · DOI
- Sarkar A., 2021, PLoS One, 16, 1
- Authors
- Baiardi, A., Christandl, M., & Reiher, M.
- Affiliations
- ETH Zurich (CH)
- University of Copenhagen (DK)
- Corresponding author
- Reiher, Markus
- Venue
- ChemBioChem
- Publisher
- Wiley
- Published
- 2023-06
- Volume
- 24
- Issue
- 13
- Pages
- e202300120-e202300120
- ISSN
- 1439-4227 (ISSN-L)
- 1439-7633
- OpenAlex
- W4375856279
- Semantic Scholar
- fbf4a9bba189bbfe9e2cb571b604c659fe4a3374
- Cited by
- 93
- References
- 244
- Citations by year
- 2026: 20 · 2025: 43 · 2024: 24 · 2023: 6
- FWCI
- 1.94
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- ChemBioChem (publishedVersion, other-oa)
- PubMed (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, cc-by-nc-nd)
- arXiv (Cornell University) (submittedVersion)
- Repository for Publications and Research Data (ETH Zurich) (submittedVersion, cc-by-nc-nd)
- arXiv (Cornell University)
- ETH Zürich Research Collection
- Funders
- Novo Nordisk Fonden (NNF20OC0059939)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Advanced Chemical Physics Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › DNA and Biological Computing
- Keywords
- quantum computing, quantum simulation, biomolecular simulation, protein folding, drug design, classical force fields, quantum correlations, bioinformatics
- MeSH terms
- Computing Methodologies, Molecular Biology, Quantum Theory, Molecular Structure, Molecular Dynamics Simulation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-07.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-07.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review