Goals and opportunities in quantum simulation
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Several devices that are publicized under the name 'quantum simulation' are, in fact, analog simulators.
“Several devices that are publicized in the name 'quantum simulation' are, in fact, analog simulators [63-67].”
From Quantum Computing in the Next-Generation Computational Biology Landscape: From Protein Folding to Molecular Dynamics (2024) · cites this paper as [63]
The new limit on the speed of evolution suggests the inequivalence of different forms of coloured noise for precision spectroscopy.
“Moreover, when using the general form of the bound for universal channels, the new limit on the speed of evolution suggest the inequivalence of different forms of coloured noise for precision spectroscopy.”
From Quantum Speed Limits in Open System Dynamics (2013) · cites this paper as [23]
This seems to be in contradiction with recent results for models of non-Markovian dephasing, which predict a ratio t_GHZ = t_p / √N.
“This seems to be in contradiction with recent results for models of non Markovian dephasing, which predict a ratio t GHZ = tp / √ N [23] and raises an interesting conjecture with which we finish this section.”
From Quantum Speed Limits in Open System Dynamics (2013) · cites this paper as [23]
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“This level of control over ultracold atomic gases offers enormous new opportunities for the field of analogue quantum simulation [70, 71].”
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“49 Analog quantum simulators, 19,20,29 on the other hand, are already being used to estimate properties of quantum systems which we do not know how to efficiently calculate classically.”
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“However, there are still many problems that cannot be solved using these powerful classical methods, so it is hoped that quantum computers can extend their reach [18,19,32].”
BackgroundPractical quantum advantage in quantum simulation
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“In an analogue quantum simulator 11 , the system is capable of implementing specific classes of models, and is engineered to implement a chosen model with well calibrated parameters.”
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“Experimentally pioneered at the turn of the millennium by nuclear magnetic resonance [8], neutral atom [9] and trapped-ion [10] systems, quantum simulation has attracted much attention over the last decade and might well hold the key to unlock significant advances in our understanding of many-body physics [11].”
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Self-citationQuantum simulation and computing with Rydberg-interacting qubits
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“To date, a collection of such effects in different areas ranging from condensed matter physics to relativistic quantum theories and nanotechnology have been simulated [1, 2], using different platforms such as trapped ions [3] and cold atoms in optical lattices [4].”
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“However, 20 years later, we have witnessed so many advances that successful quantum computations, and other applications of quantum information processing such as quantum simulation [15, 16] and long-distance quantum communication [17], appear reachable within our lifetime, even if many discoveries and technological i…”
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Self-citationQuantum certification and benchmarking
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Self-citationDynamic relaxation of a levitated nanoparticle from a non-equilibrium steady state
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“Furthermore, it serves as an experimental simulator platform in analogy to quantum simulators based on ultracold gases, superconducting circuits or trapped ions [45].”
BackgroundDemonstration of a Scaling Advantage for a Quantum Annealer over Simulated Annealing
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“The underlying idea of such quantum simulations is to take advantage of accurate control of a physical quantum system and to thus engineer an effective dynamics that mimics a quantum many-body model of interest [19–24].”
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“Modelling quantum-mechanical systems is widely expected to be one of the most important applications of near-term quantum computing hardware [1–3].”
BackgroundQuantum technology for military applications
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“To explain in greater detail, the room-temperature superconductivity material, for example, exploits superconductivity at high temperatures [285].”
BackgroundCold atoms meet lattice gauge theory
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“QS involve many platforms [5]: superconducting circuits [6], through ultracold atoms [7], trapped ions [8], Rydberg atoms [9], circuit QED [10], photonic systems [11] and more.”
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“This would indeed come close to the practical implementation of a quantum simulator as envisioned by Richard Feynman [210, 211].”
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Colloquium : Atomtronic circuits: From many-body physics to quantum technologies
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“Atomtronic circuits are suitable as cold-atom quantum simulators (Bloch, 2005; Buluta and Nori, 2009; Cirac and Zoller, 2012; Dowling and Milburn, 2003; Lamata et al., 2014; Lewenstein et al., 2012) in which matter wave currents are harnessed as probes to explore the physics of the system.”
BackgroundArrays of individually controlled ions suitable for two-dimensional quantum simulations
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“Q simulation has become an important theme for research in contemporary physics (1).”
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“Finally, it is important to note that all of these ideas can be applied and tested in quantum simulators [105], in particular using ultracold atoms and lattice shaking [106], as well as Rydberg atoms, polaritons, or circuit QED [107–112].”
BackgroundQuantum Hamiltonian Complexity
Gharibian, S., Huang, Y., Landau, Z., & Shin, S. W. (2015) · Foundations and Trends® in Theoretical Computer Science · doi:10.1561/0400000066 · Cited by 144 · see citing works
“Thus, the goal of quantum simulations may be easier to achieve than a large scale quantum computer [52].”
BackgroundUltracold molecules for quantum simulation: rotational coherences in CaF and RbCs
Blackmore, J. A., Caldwell, L., Gregory, P. D., Bridge, E. M., Sawant, R., Aldegunde, J., Mur-Petit, J., Jaksch, D., Hutson, J. M., Sauer, B. E., et al. (2018) · Quantum Science and Technology · doi:10.1088/2058-9565/aaee35 · Cited by 139 · see citing works
Engineering topological states in atom-based semiconductor quantum dots
Kiczynski, M., Gorman, S. K., Geng, H., Donnelly, M. B., Chung, Y., He, Y., Keizer, J. G., & Simmons, M. Y. (2022) · Nature · doi:10.1038/s41586-022-04706-0 · Cited by 143 · see citing works
Real Time Dynamics and Confinement in the Z n Schwinger-Weyl lattice model for 1+1 QED
Magnifico, G., Dalmonte, M., Paolo Facchi, A., Pascazio, S., Pepe, F. V., & Ercolessi, E. (2020) · Quantum · doi:10.22331/q-2020-06-15-281 · Cited by 139 · see citing works
“We implemented the initial state for the time-evolution by calculating the ground-state of two different Hamiltonians: i) for the pair production analysis, we obtained the vacuum state (see Fig.”
BackgroundInfluentialApproximating Gibbs states of local Hamiltonians efficiently with projected entangled pair states
Molnár, A., Schuch, N., Verstraete, F., & Cirac, J. I. (2015) · Physical Review B · doi:10.1103/physrevb.91.045138 · Cited by 128 · see citing works
Self-citationAnalogue quantum chemistry simulation
Argüello-Luengo, J., González-Tudela, A., Shi, T., Zoller, P., & Cirac, J. I. (2019) · Nature · doi:10.1038/s41586-019-1614-4 · Cited by 136 · see citing works
Self-citationTwo-Terminal Transport Measurements with Cold Atoms
Krinner, S., Esslinger, T., & Brantut, J.-P. (2017) · Repository for Publications and Research Data (ETH Zurich) · doi:10.3929/ethz-b-000192826 · Cited by 139 · see citing works
Digital lattice gauge theories
Zohar, E., Farace, A., Reznik, B., & Cirac, J. I. (2017) · Physical Review A · doi:10.1103/physreva.95.023604 · Cited by 130 · see citing works
Self-citationTowards analog quantum simulations of lattice gauge theories with trapped ions
Davoudi, Z., Hafezi, M., Monroe, C. R., Pagano, G., Seif, A., & Shaw, A. (2020) · Physical Review Research · doi:10.1103/physrevresearch.2.023015 · Cited by 132 · see citing works
“[13] J Ignacio Cirac and Peter Zoller, “Goals and opportunities in quantum simulation,” Nature Physics 8, 264 (2012).”
BackgroundSimulating ( 2+1 )-Dimensional Lattice QED with Dynamical Matter Using Ultracold Atoms
Zohar, E., Cirac, J. I., & Reznik, B. (2013) · Physical Review Letters · doi:10.1103/physrevlett.110.055302 · Cited by 133 · see citing works
Self-citationEntanglement Hamiltonian tomography in quantum simulation
Kokail, C., van Bijnen, R., Elben, A., Vermersch, B., & Zoller, P. (2021) · Nature Physics · doi:10.1038/s41567-021-01260-w · Cited by 130 · see citing works
Self-citationFocus on atomtronics-enabled quantum technologies
Luigi Amico, A., Birkl, G., Boshier, M., & Kwek, L. C. (2017) · New Journal of Physics · doi:10.1088/1367-2630/aa5a6d · Cited by 128 · see citing works
“Quantum emulators or simulators have been one of the key goals of quantum technology[5, 6, 7, 8, 9].”
BackgroundJohnson, T. H., Clark, S. R., & Jaksch, D. (2014) · EPJ Quantum Technology · doi:10.1140/epjqt10 · Cited by 127 · see citing works
Tuneable hopping and nonlinear cross-Kerr interactions in a high-coherence superconducting circuit
Kounalakis, M., Dickel, C., Bruno, A., Langford, N. K., & Steele, G. A. (2018) · npj Quantum Information · doi:10.1038/s41534-018-0088-9 · Cited by 124 · see citing works
Search for efficient formulations for Hamiltonian simulation of non-Abelian lattice gauge theories
Davoudi, Z., Raychowdhury, I., & Shaw, A. (2021) · Physical review. D/Physical review. D. · doi:10.1103/physrevd.104.074505 · Cited by 124 · see citing works
Towards quantum simulating QCD
Wiese, U. ‐. (2014) · Nuclear Physics A · doi:10.1016/j.nuclphysa.2014.09.102 · Cited by 116 · see citing works
- Authors
- Cirac, J. I., & Zoller, P.
- Affiliations
- Max Planck Society (DE)
- Universität Innsbruck (AT)
- Corresponding author
- Cirac, J. Ignacio
- Zoller, Peter
- Venue
- Nature Physics
- Published
- 2012-04
- Volume
- 8
- Issue
- 4
- Pages
- 264-266
- ISSN
- 1745-2473 (ISSN-L)
- 1745-2481
- OpenAlex
- W2044154164
- Cited by
- 891
- References
- 4
- Citations by year
- 2026: 33 · 2025: 55 · 2024: 70 · 2023: 49 · 2022: 70 · 2021: 89 · 2020: 83 · 2019: 97 · 2018: 54 · 2017: 49 · 2016: 55 · 2015: 74 · 2014: 41 · 2013: 42 · 2012: 29
- FWCI
- 58.57
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Physics (publishedVersion)
- Max Planck Institute for Plasma Physics (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum many-body systems
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Cold Atom Physics and Bose-Einstein Condensates
- Keywords
- quantum simulation, quantum simulators, research objectives, short-term goals, quantum computing
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