The DOI matches its Crossref record; 116 of the 118 references it cites were found in a registry or an index.
Encoding Electronic Spectra in Quantum Circuits with Linear T Complexity
Open accessAbstract
We construct quantum circuits that exactly encode the spectra of correlated electron models up to errors from rotation synthesis.By invoking these circuits as oracles within the recently introduced "qubitization" framework, one can use quantum phase estimation to sample states in the Hamiltonian eigenbasis with optimal query complexity Oðλ=ϵÞ, where λ is an absolute sum of Hamiltonian coefficients and ϵ is the target precision.For both the Hubbard model and electronic structure Hamiltonian in a second quantized basis diagonalizing the Coulomb operator, our circuits have T-gate complexity O(N þ logð1=ϵÞ), where N is the number of orbitals in the basis.This scenario enables sampling in the eigenbasis of electronic structure Hamiltonians with T complexity O(N 3 =ϵ þ N 2 logð1=ϵÞ=ϵ).Compared to prior approaches, our algorithms are asymptotically more efficient in gate complexity and require fewer T gates near the classically intractable regime.Compiling to surface code fault-tolerant gates and assuming per-gate error rates of one part in a thousand reveals that one can error correct phase estimation on interesting instances of these problems beyond the current capabilities of classical methods using only about a million superconducting qubits in a matter of hours.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Using Babbush et al.'s QROM read (section 3A of [2]), each table lookup has a Toffoli count and measurement depth of 2 c mul + c exp and uses a negligible O ( c mul + c exp ) ancillae.”
From How to factor 2048 bit RSA integers in 8 hours using 20 million noisy qubits (2021) · cites this paper as [2]
Experimental — accuracy not yet measuredIn the citing paper
“Crosson et al. 298 demonstrated that this effect is common even for instances that do not exhibit noticeable symmetries.”
From Quantum Chemistry in the Age of Quantum Computing (2019) · cites this paper as [298]
In the citing paper
“Note that it is not always necessary to reach the adiabatic regime to achieve a significant overlap with the ground state.”
From Quantum Chemistry in the Age of Quantum Computing (2019) · cites this paper as [298]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Hohenberg, P., & Kohn, W. (1964) · Physical Review · doi:10.1103/physrev.136.b864 · Cited by 53,541
Ground State of the Electron Gas by a Stochastic Method
Ceperley, D. M., & Alder, B. J. (1980) · Physical Review Letters · doi:10.1103/physrevlett.45.566 · Cited by 14,561
Simulating physics with computers
Feynman, R. P. (1982) · International Journal of Theoretical Physics · doi:10.1007/bf02650179 · Cited by 7,691
Electron correlations in narrow energy bands
Hubbard, J. (1963) · Proceedings of the Royal Society of London A Mathematical and Physical Sciences · doi:10.1098/rspa.1963.0204 · Cited by 6,687
A variational eigenvalue solver on a photonic quantum processor
Peruzzo, A., McClean, J., Shadbolt, P., Yung, M.-H., Zhou, X.-Q., Love, P. J., Aspuru-Guzik, A., & O’Brien, J. L. (2014) · Nature Communications · doi:10.1038/ncomms5213 · Cited by 4,552 · cited 1×
“More recently, experimental demonstrations [11 – 15] have focused on the development of variational algorithms [16,17], which are often [18,19], but not always [20,21], inspired by time-evolution primitives.”
BackgroundSelf-citationLloyd, S. (1996) · Science · doi:10.1126/science.273.5278.1073 · Cited by 3,088 · cited 1×
“Fourteen years later, Lloyd formalized the concept of a universal quantum simulator [3] and demonstrated an extension for treating systems of interacting electrons in second quantization [4].”
BackgroundSurface codes: Towards practical large-scale quantum computation
Fowler, A. G., Mariantoni, M., Martinis, J. M., & Cleland, A. N. (2012) · Physical Review A · doi:10.1103/physreva.86.032324 · Cited by 3,059 · cited 2×
“We use the surface code [31 – 35], as it has the highest gate threshold error rate for this geometry.”
MethodSelf-citationHardware-efficient variational quantum eigensolver for small molecules and quantum magnets
Kandala, A., Mezzacapo, A., Temme, K., Takita, M., Brink, M., Chow, J. M., & Gambetta, J. M. (2017) · Nature · doi:10.1038/nature23879 · Cited by 2,982
Absence of Mott Transition in an Exact Solution of the Short-Range, One-Band Model in One Dimension
Lieb, E. H., & Wu, F. Y. (1968) · Physical Review Letters · doi:10.1103/physrevlett.20.1445 · Cited by 2,952
�ber das Paulische �quivalenzverbot
Jordan, P., & Wigner, E. (1928) · Zeitschrift f�r Physik · doi:10.1007/bf01331938 · Cited by 2,597 · cited 1×
“Mapping to qubits under the Jordan-Wigner transformation [61,76], Eq.”
Method
Flagged first, then by citations
2 of the 118 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
- X. Fu, 2017, Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture, Cambridge, Massachusetts, 2017
- D. Aharonov, 2003, Proceedings of the 35th ACM Symposium on Theory of Computing—STOC ’03
Cited by
Sorted by citations
Variational quantum algorithms
Cerezo, M., Arrasmith, A., Babbush, R., Benjamin, S. C., Endo, S., Fujii, K., McClean, J. R., Mitarai, K., Yuan, X., Cincio, L., et al. (2021) · Nature Reviews Physics · doi:10.1038/s42254-021-00348-9 · Cited by 3,385
Self-citationQuantum computational chemistry
McArdle, S., Endo, S., Aspuru-Guzik, A., Benjamin, S. C., & Yuan, X. (2020) · Reviews of Modern Physics · doi:10.1103/revmodphys.92.015003 · Cited by 1,621
Quantum Chemistry in the Age of Quantum Computing
Cao, Y., Romero, J., Olson, J. P., Degroote, M., Johnson, P. D., Kieferová, M., Kivlichan, I. D., Menke, T., Peropadre, B., Sawaya, N. P. D., et al. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00803 · Cited by 1,560
Quantum Chemistry in the Age of Quantum Computing
Cao, Y., Romero, J., Olson, J., Degroote, M., Johnson, P., Kieferová, M., Kivlichan, I., Menke, T., Peropadre, B., Sawaya, N., et al. (n.d.) · OPUS - Open Publications of UTS Scholars (University of Technology Sydney) · Cited by 1,265
The Variational Quantum Eigensolver: A review of methods and best practices
Tilly, J., Chen, H., Cao, S., Picozzi, D., Setia, K., Li, Y., Grant, E., Wossnig, L., Rungger, I., Booth, G. H., et al. (2022) · Physics Reports · doi:10.1016/j.physrep.2022.08.003 · Cited by 1,031
Hartree-Fock on a superconducting qubit quantum computer
Collaborators, G. A. Q. A., Arute, F., Arya, K., Babbush, R., Bacon, D., Bardin, J. C., Barends, R., Boixo, S., Broughton, M., Buckley, B. B., et al. (2020) · Science · doi:10.1126/science.abb9811 · Cited by 870
Self-citationHow to factor 2048 bit RSA integers in 8 hours using 20 million noisy qubits
Gidney, C., & Ekerå, M. (2021) · Quantum · doi:10.22331/q-2021-04-15-433 · Cited by 830
Self-citationTheory of Trotter Error with Commutator Scaling
Childs, A. M., Su, Y., Tran, M. C., Wiebe, N., & Zhu, S. (2021) · Physical Review X · doi:10.1103/physrevx.11.011020 · Cited by 646
Self-citationOpenFermion: the electronic structure package for quantum computers
McClean, J. R., Rubin, N. C., Sung, K. J., Kivlichan, I., Bonet-Monroig, X., Cao, Y., Dai, C., Fried, E., Gidney, C., Gimby, B., et al. (2020) · Quantum Science and Technology · doi:10.1088/2058-9565/ab8ebc · Cited by 621
Self-citationGeneralized Unitary Coupled Cluster Wave functions for Quantum Computation
Lee, J., Huggins, W. J., Head-Gordon, M., & Whaley, K. B. (2019) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.8b01004 · Cited by 432
A Game of Surface Codes: Large-Scale Quantum Computing with Lattice Surgery
Litinski, D. (2019) · Quantum · doi:10.22331/q-2019-03-05-128 · Cited by 408
Random Compiler for Fast Hamiltonian Simulation
Campbell, E. T. (2019) · Physical Review Letters · doi:10.1103/physrevlett.123.070503 · Cited by 429
Potential of quantum computing for drug discovery
Cao, Y., Romero, J., & Aspuru-Guzik, A. (2018) · IBM Journal of Research and Development · doi:10.1147/jrd.2018.2888987 · Cited by 357
Even More Efficient Quantum Computations of Chemistry Through Tensor Hypercontraction
Lee, J., Berry, D. W., Gidney, C., Huggins, W. J., McClean, J. R., Wiebe, N., & Babbush, R. (2021) · PRX Quantum · doi:10.1103/prxquantum.2.030305 · Cited by 304
Self-citationHalving the cost of quantum addition
Gidney, C. (2018) · Quantum · doi:10.22331/q-2018-06-18-74 · Cited by 279
Self-citationQuantum Computer Systems for Scientific Discovery
Alexeev, Y., Bacon, D., Brown, K. R., Calderbank, R., Carr, L. D., Chong, F. T., DeMarco, B., Englund, D. R., Farhi, E., Fefferman, B., et al. (2021) · PRX Quantum · doi:10.1103/prxquantum.2.017001 · Cited by 339
Quantum computing enhanced computational catalysis
von Burg, V., Low, G. H., Häner, T., Steiger, D. S., Reiher, M., Roetteler, M., & Troyer, M. (2021) · Physical Review Research · doi:10.1103/physrevresearch.3.033055 · Cited by 310
Quantum computing enhanced computational catalysis
von Burg, V., Low, G. H., Häner, T., Steiger, D. S., Reiher, M., Roetteler, M., & Troyer, M. (2020) · arXiv · doi:10.48550/arxiv.2007.14460 · Cited by 258
A game of surface codes: Large-scale quantum computing with lattice surgery
Litinski, D. (2019) · Refubium (Universitätsbibliothek der Freien Universität Berlin) · doi:10.17169/refubium-4067 · Cited by 254
Error-Mitigated Digital Quantum Simulation
McArdle, S., Yuan, X., & Benjamin, S. C. (2019) · Physical Review Letters · doi:10.1103/physrevlett.122.180501 · Cited by 253
Quantum Computer Systems for Scientific Discovery
Alexeev, Y., Bacon, D., Brown, K. R., Calderbank, R., Carr, L. D., Chong, F. T., DeMarco, B., Englund, D., Farhi, E., Fefferman, B., et al. (2021) · DSpace@MIT (Massachusetts Institute of Technology) · doi:10.6082/h7fqg-6vt65 · Cited by 257
Magnard, P., Storz, S., Kurpiers, P., Schär, J., Marxer, F., Lütolf, J., Walter, T., Besse, J.-C., Gabureac, M. S., Reuer, K., et al. (2020) · Physical Review Letters · doi:10.1103/physrevlett.125.260502 · Cited by 266
Implementing Grover Oracles for Quantum Key Search on AES and LowMC
Jaques, S., Naehrig, M., Roetteler, M., & Virdia, F. (2020) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-45724-2_10 · Cited by 234
Qubitization of Arbitrary Basis Quantum Chemistry Leveraging Sparsity and Low Rank Factorization
Berry, D. W., Gidney, C., Motta, M., McClean, J. R., & Babbush, R. (2019) · Quantum · doi:10.22331/q-2019-12-02-208 · Cited by 222
Self-citationMagic State Distillation: Not as Costly as You Think
Litinski, D. (2019) · Quantum · doi:10.22331/q-2019-12-02-205 · Cited by 220
Perspective on the Current State-of-the-Art of Quantum Computing for Drug Discovery Applications
Blunt, N. S., Camps, J., Crawford, O., Izsák, R., Leontica, S., Mirani, A., Moylett, A. E., Scivier, S. A., Sünderhauf, C., Schopf, P., et al. (2022) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.2c00574 · Cited by 192
Strategies for solving the Fermi-Hubbard model on near-term quantum computers
Cade, C., Mineh, L., Montanaro, A., & Stanisic, S. (2020) · Physical Review B · doi:10.1103/physrevb.102.235122 · Cited by 178
Heisenberg-Limited Ground-State Energy Estimation for Early Fault-Tolerant Quantum Computers
Lin, L., & Tong, Y. (2022) · PRX Quantum · doi:10.1103/prxquantum.3.010318 · Cited by 209
Quantum State Preparation with Optimal Circuit Depth: Implementations and Applications
Zhang, X., Li, T., & Yuan, X. (2022) · Physical Review Letters · doi:10.1103/physrevlett.129.230504 · Cited by 245
Low rank representations for quantum simulation of electronic structure
Motta, M., Ye, E., McClean, J. R., Li, Z., Minnich, A. J., Babbush, R., & Chan, G. K. (2021) · npj Quantum Information · doi:10.1038/s41534-021-00416-z · Cited by 207
Self-citationHardware-Efficient Quantum Random Access Memory with Hybrid Quantum Acoustic Systems
Hann, C. T., Zou, C., Zhang, Y., Chu, Y., Schoelkopf, R. J., Girvin, S. M., & Jiang, L. (2019) · Physical Review Letters · doi:10.1103/physrevlett.123.250501 · Cited by 182
Takeshita, T. Y., Rubin, N. C., Zhang, J., Lee, E., Babbush, R., & McClean, J. R. (2020) · Physical Review X · doi:10.1103/physrevx.10.011004 · Cited by 177
Self-citationKivlichan, I. D., Gidney, C., Berry, D. W., Wiebe, N., McClean, J., Sun, W., Jiang, Z., Rubin, N., Fowler, A., Aspuru-Guzik, A., et al. (2020) · Quantum · doi:10.22331/q-2020-07-16-296 · Cited by 173
Self-citationVillalonga, B., Boixo, S., Nelson, B. C., Henze, C. E., Rieffel, E. G., Biswas, R., & Mandrà, S. (2019) · npj Quantum Information · doi:10.1038/s41534-019-0196-1 · Cited by 181
Establishing the quantum supremacy frontier with a 281 Pflop/s simulation
Villalonga, B., Lyakh, D. I., Boixo, S., Neven, H., Humble, T. S., Biswas, R., Rieffel, E. G., Ho, A., & Mandrà, S. (2020) · Quantum Science and Technology · doi:10.1088/2058-9565/ab7eeb · Cited by 163
Self-citationEfficient magic state factories with a catalyzed | C C Z ⟩ to 2 | T ⟩ transformation
Gidney, C., & Fowler, A. G. (2019) · Quantum · doi:10.22331/q-2019-04-30-135 · Cited by 152
Self-citationCircuit-Based Quantum Random Access Memory for Classical Data
Park, D. K., Petruccione, F., & Rhee, J.-K. K. (2019) · Scientific Reports · doi:10.1038/s41598-019-40439-3 · Cited by 151
Goings, J. J., White, A., Lee, J., Tautermann, C. S., Degroote, M., Gidney, C., Shiozaki, T., Babbush, R., & Rubin, N. C. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2203533119 · Cited by 127
Self-citationDigital Quantum Simulation of the Schwinger Model and Symmetry Protection with Trapped Ions
Nguyen, N. H., Tran, M. C., Zhu, Y., Green, A., Alderete, C. H., Davoudi, Z., & Linke, N. M. (2022) · PRX Quantum · doi:10.1103/prxquantum.3.020324 · Cited by 162
He Gives C-Sieves on the CSIDH
Peikert, C. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-45724-2_16 · Cited by 147
Decoding quantum errors with subspace expansions
McClean, J. R., Zhang, J., Rubin, N. C., Babbush, R., & Neven, H. (2020) · Nature Communications · doi:10.1038/s41467-020-14341-w · Cited by 148
Self-citationSuzuki, Y., Endo, S., Fujii, K., & Tokunaga, Y. (2022) · PRX Quantum · doi:10.1103/prxquantum.3.010345 · Cited by 154
Fault-tolerant quantum simulations of chemistry in first quantization
Su, Y., Berry, D. W., Wiebe, N., Rubin, N., & Babbush, R. (2021) · PRX Quantum · doi:10.1103/prxquantum.2.040332 · Cited by 123
Self-citationMeasurement reduction in variational quantum algorithms
Zhao, A., Tranter, A., Kirby, W. M., Ung, S. F., Miyake, A., & Love, P. J. (2020) · Physical Review A · doi:10.1103/physreva.101.062322 · Cited by 121
Factoring 2048-bit RSA Integers in 177 Days with 13 436 Qubits and a Multimode Memory
Gouzien, É., & Sangouard, N. (2021) · Physical Review Letters · doi:10.1103/physrevlett.127.140503 · Cited by 137
Compilation of Fault-Tolerant Quantum Heuristics for Combinatorial Optimization
Sanders, Y. R., Berry, D. W., Costa, P. C. S., Tessler, L. W., Wiebe, N., Gidney, C., Neven, H., & Babbush, R. (2020) · PRX Quantum · doi:10.1103/prxquantum.1.020312 · Cited by 133
Self-citationFault-Tolerant Resource Estimation of Quantum Random-Access Memories
Matteo, O. D., Gheorghiu, V., & Mosca, M. (2020) · IEEE Transactions on Quantum Engineering · doi:10.1109/tqe.2020.2965803 · Cited by 113
Time-dependent Hamiltonian simulation with L 1 -norm scaling
Berry, D. W., Childs, A. M., Su, Y., Wang, X., & Wiebe, N. (2020) · Quantum · doi:10.22331/q-2020-04-20-254 · Cited by 133
Self-citationBlack-Box Quantum State Preparation without Arithmetic
Sanders, Y. R., Low, G. H., Scherer, A., & Berry, D. W. (2019) · Physical Review Letters · doi:10.1103/physrevlett.122.020502 · Cited by 107
Self-citationDecoding quantum errors with subspace expansions
McClean, J. R., Zhang, J., Rubin, N. C., Babbush, R., & Neven, H. (2020) · RePEc: Research Papers in Economics · Cited by 105
Self-citationQuantum simulation of chemistry with sublinear scaling in basis size
Babbush, R., Berry, D. W., McClean, J. R., & Neven, H. (2019) · npj Quantum Information · doi:10.1038/s41534-019-0199-y · Cited by 121
Self-citationLow-overhead fault-tolerant quantum computing using long-range connectivity
Cohen, L. Z., Kim, I. H., Bartlett, S. D., & Brown, B. J. (2022) · Science Advances · doi:10.1126/sciadv.abn1717 · Cited by 98
Bauman, N. P., Bylaska, E. J., Krishnamoorthy, S., Low, G. H., Wiebe, N., Granade, C., Roetteler, M., Troyer, M., & Kowalski, K. (2019) · The Journal of Chemical Physics · doi:10.1063/1.5094643 · Cited by 103
Self-citationQuantum simulation of quantum field theory in the light-front formulation
Kreshchuk, M., Kirby, W. M., Goldstein, G. R., Beauchemin, P. H., & Love, P. J. (2022) · Physical Review A · doi:10.1103/physreva.105.032418 · Cited by 125
Kim, I. H., Liu, Y.-H., Pallister, S., Pol, W., Roberts, S., & Lee, E. (2022) · Physical Review Research · doi:10.1103/physrevresearch.4.023019 · Cited by 116
Asymptotically Optimal Circuit Depth for Quantum State Preparation and General Unitary Synthesis
Sun, X., Tian, G., Yang, S., Yuan, P., & Zhang, S. (2023) · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · doi:10.1109/tcad.2023.3244885 · Cited by 144
Quantum computing for neutrino-nucleus scattering
Roggero, A., Li, A. C. Y., Carlson, J., Gupta, R., & Perdue, G. (2020) · Physical review. D/Physical review. D. · doi:10.1103/physrevd.101.074038 · Cited by 103
Randomized Quantum Algorithm for Statistical Phase Estimation
Wan, K., Berta, M., & Campbell, E. T. (2022) · Physical Review Letters · doi:10.1103/physrevlett.129.030503 · Cited by 116
Alexeev, Y., Amsler, M., Barroca, M. A., Bassini, S., Battelle, T., Camps, D., Casanova, D., Choi, Y. J., Chong, F. T., Chung, C., et al. (2024) · Future Generation Computer Systems · doi:10.1016/j.future.2024.04.060 · Cited by 138
Optimized Quantum Compilation for Near-Term Algorithms with OpenPulse
Gokhale, P., Javadi-Abhari, A., Earnest, N., Shi, Y., & Chong, F. T. (2020) · IEEE/ACM International Symposium on Microarchitecture (MICRO) · doi:10.1109/micro50266.2020.00027 · Cited by 101
Improved Quantum Circuits for Elliptic Curve Discrete Logarithms
Häner, T., Jaques, S., Naehrig, M., Roetteler, M., & Soeken, M. (2020) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-44223-1_23 · Cited by 76
Applying quantum algorithms to constraint satisfaction problems
Campbell, E. T., Khurana, A., & Montanaro, A. (2019) · Quantum · doi:10.22331/q-2019-07-18-167 · Cited by 89
Generalized Quantum Signal Processing
Motlagh, D., & Wiebe, N. (2024) · PRX Quantum · doi:10.1103/prxquantum.5.020368 · Cited by 75
Self-citationOrbital-optimized pair-correlated electron simulations on trapped-ion quantum computers
Zhao, L., Goings, J., Shin, K., Kyoung, W., Fuks, J. I., Kevin Rhee, J.-K., Rhee, Y. M., Wright, K., Nguyen, J., Kim, J., et al. (2023) · npj Quantum Information · doi:10.1038/s41534-023-00730-8 · Cited by 73
Minimizing Estimation Runtime on Noisy Quantum Computers
Wang, G., Koh, D. E., Johnson, P. D., & Cao, Y. (2021) · PRX Quantum · doi:10.1103/prxquantum.2.010346 · Cited by 77
Trading T gates for dirty qubits in state preparation and unitary synthesis
Low, G. H., Kliuchnikov, V., & Schaeffer, L. (2024) · Quantum · doi:10.22331/q-2024-06-17-1375 · Cited by 138
Early fault-tolerant simulations of the Hubbard model
Campbell, E. T. (2022) · Quantum Science and Technology · doi:10.1088/2058-9565/ac3110 · Cited by 81
Benchmarking quantum computers
Proctor, T. J., Young, K. C., Baczewski, A., & Blume-Kohout, R. (2025) · Nature Reviews Physics · doi:10.1038/s42254-024-00796-z · Cited by 116
Quantum simulation of the Sachdev-Ye-Kitaev model by asymmetric qubitization
Babbush, R., Berry, D. W., & Neven, H. (2019) · Physical Review A · doi:10.1103/physreva.99.040301 · Cited by 80
Self-citationResilience of Quantum Random Access Memory to Generic Noise
Hann, C. T., Lee, G., Girvin, S. M., & Jiang, L. (2021) · PRX Quantum · doi:10.1103/prxquantum.2.020311 · Cited by 91
Simulating the dynamics of time-dependent Hamiltonians with a truncated Dyson series
Kieferová, M., Scherer, A., & Berry, D. W. (2019) · Physical Review A · doi:10.1103/physreva.99.042314 · Cited by 66
Self-citationAn Outlook for Quantum Computing [Point of View]
Maslov, D., Nam, Y., & Kim, J. (2018) · Proceedings of the IEEE · doi:10.1109/jproc.2018.2884353 · Cited by 65
Wang, G., França, D. S., Zhang, R., Zhu, S., & Johnson, P. D. (2023) · Quantum · doi:10.22331/q-2023-11-06-1167 · Cited by 60
Quantum codes for quantum simulation of fermions on a square lattice of qubits
Steudtner, M., & Wehner, S. (2019) · Physical Review A · doi:10.1103/physreva.99.022308 · Cited by 62
The SQALE of CSIDH: sublinear Vélu quantum-resistant isogeny action with low exponents
Chávez-Saab, J., Chi-Domínguez, J.-J., Jaques, S., & Rodríguez‐Henríquez, F. (2021) · Journal of Cryptographic Engineering · doi:10.1007/s13389-021-00271-w · Cited by 66
Resilience of Quantum Random Access Memory to Generic Noise
Hann, C. T., Lee, G., Girvin, S. M., & Jiang, L. (2021) · University of Chicago · doi:10.6082/027wm-z2x67 · Cited by 57
Initial State Preparation for Quantum Chemistry on Quantum Computers
Fomichev, S., Hejazi, K., Zini, M. S., Kiser, M., Fraxanet, J., Casares, P. A. M., Delgado, A., Huh, J., Voigt, A.-C., Mueller, J. E., et al. (2024) · PRX Quantum · doi:10.1103/prxquantum.5.040339 · Cited by 94
Simulating key properties of lithium-ion batteries with a fault-tolerant quantum computer
Delgado, A., Casares, P. A. M., dos Reis, R., Zini, M. S., Campos, R., Hernández, N. C., Voigt, A.-C., Lowe, A., Jahangiri, S., Martin-Delgado, M. A., et al. (2022) · Physical Review A · doi:10.1103/physreva.106.032428 · Cited by 71
Boundaries of quantum supremacy via random circuit sampling
Zlokapa, A., Villalonga, B., Boixo, S., & Lidar, D. A. (2023) · npj Quantum Information · doi:10.1038/s41534-023-00703-x · Cited by 66
Efficient quantum computation of molecular forces and other energy gradients
O’Brien, T. E., Streif, M., Rubin, N. C., Santagati, R., Su, Y., Huggins, W. J., Goings, J. J., Moll, N., Kyoseva, E. S., Degroote, M., et al. (2022) · Physical Review Research · doi:10.1103/physrevresearch.4.043210 · Cited by 71
Self-citationEvaluating Energy Differences on a Quantum Computer with Robust Phase Estimation
Russo, A., Rudinger, K., Morrison, B., & Baczewski, A. (2021) · Physical Review Letters · doi:10.1103/physrevlett.126.210501 · Cited by 54
Elfving, V. E., Broer, B. W., Webber, M., Gavartin, J. L., Halls, M. D., Lorton, K. P., & Bochevarov, A. D. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2009.12472 · Cited by 128
Power-optimal, stabilized entangling gate between trapped-ion qubits
Blümel, R., Grzesiak, N., Pisenti, N. C., Wright, K., & Nam, Y. (2021) · npj Quantum Information · doi:10.1038/s41534-021-00489-w · Cited by 62
Compilation by stochastic Hamiltonian sparsification
Ouyang, Y., White, D. R., & Campbell, E. T. (2020) · Quantum · doi:10.22331/q-2020-02-27-235 · Cited by 66
Fast Multiqubit Gates through Simultaneous Two-Qubit Gates
Gu, X. Q., Fernández-Pendás, J., Vikstål, P., Abad, T., Warren, C., Bengtsson, A., Tancredi, G., Shumeiko, V. S., Bylander, J., Johansson, G., et al. (2021) · PRX Quantum · doi:10.1103/prxquantum.2.040348 · Cited by 49
Linear-depth quantum circuits for multiqubit controlled gates
da Silva, A. J., & Park, D. K. (2022) · Physical Review A · doi:10.1103/physreva.106.042602 · Cited by 51
Subsystem codes with high thresholds by gauge fixing and reduced qubit overhead
Higgott, O., & Breuckmann, N. P. (2021) · Physical Review X · doi:10.1103/physrevx.11.031039 · Cited by 48
Block-encoding structured matrices for data input in quantum computing
Sünderhauf, C., Campbell, E. T., & Camps, J. (2024) · Quantum · doi:10.22331/q-2024-01-11-1226 · Cited by 86
Hybridized Methods for Quantum Simulation in the Interaction Picture
Rajput, A., Roggero, A., & Wiebe, N. (2022) · Quantum · doi:10.22331/q-2022-08-17-780 · Cited by 62
Self-citationNear- and long-term quantum algorithmic approaches for vibrational spectroscopy
Sawaya, N. P. D., Paesani, F., & Tabor, D. P. (2021) · Physical Review A · doi:10.1103/physreva.104.062419 · Cited by 54
Concrete quantum cryptanalysis of binary elliptic curves
Banegas, G., Bernstein, D. J., van Hoof, I., & Lange, T. (2020) · IACR Transactions on Cryptographic Hardware and Embedded Systems · doi:10.46586/tches.v2021.i1.451-472 · Cited by 50
Quantum unary approach to option pricing
Ramos-Calderer, S., Pérez-Salinas, A., García-Martín, D., Bravo-Prieto, C., Cortada, J., Planagumà, J., & Latorre, J. I. (2021) · Physical Review A · doi:10.1103/physreva.103.032414 · Cited by 58
Analyzing Prospects for Quantum Advantage in Topological Data Analysis
Berry, D. W., Su, Y., Gyurik, C., King, R., Basso, J., Barba, A. D. T., Rajput, A., Wiebe, N., Dunjko, V., & Babbush, R. (2024) · PRX Quantum · doi:10.1103/prxquantum.5.010319 · Cited by 74
Self-citationNam, Y., & Maslov, D. A. (2019) · npj Quantum Information · doi:10.1038/s41534-019-0152-0 · Cited by 46
Warren, C., Fernández-Pendás, J., Ahmed, S., Abad, T., Bengtsson, A., Biznárová, J., Debnath, K., Gu, X. Q., Križan, C., Osman, A., et al. (2023) · npj Quantum Information · doi:10.1038/s41534-023-00711-x · Cited by 42
Compilation by stochastic Hamiltonian sparsification
Ouyang, Y., White, D. R., & Campbell, E. T. (2020) · White Rose Research Online (University of Leeds, The University of Sheffield, University of York) · Cited by 41
Preparing Bethe Ansatz Eigenstates on a Quantum Computer
Dyke, J. S. V., Barron, G. S., Mayhall, N. J., Barnes, E., & Economou, S. E. (2021) · PRX Quantum · doi:10.1103/prxquantum.2.040329 · Cited by 44
Rapid Initial-State Preparation for the Quantum Simulation of Strongly Correlated Molecules
Berry, D. W., Tong, Y., Khattar, T., White, A. F., Kim, T. I., Low, G. H., Boixo, S., Ding, Z., Lin, L., Lee, S., et al. (2025) · PRX Quantum · doi:10.1103/prxquantum.6.020327 · Cited by 65
Self-citationNo-Go Theorems for Quantum Resource Purification: New Approach and Channel Theory
Fang, K., & Liu, Z.-W. (2022) · PRX Quantum · doi:10.1103/prxquantum.3.010337 · Cited by 46
Estimating Quantum Speedups for Lattice Sieves
Albrecht, M. R., Gheorghiu, V., Postlethwaite, E. W., & Schanck, J. M. (2020) · International Conference on the Theory and Application of Cryptology and Information Security · doi:10.1007/978-3-030-64834-3_20 · Cited by 58
Metadata
- Authors
- Babbush, R., Gidney, C., Berry, D. W., Wiebe, N., McClean, J., Paler, A., Fowler, A., & Neven, H.
- Affiliations
- Google (United States) (US)
- Macquarie University (AU)
- Microsoft (United States) (US)
- ORCID
- Venue
- Physical Review X
- Publisher
- American Physical Society (APS)
- Published
- 2018-10-23
- Volume
- 8
- Issue
- 4
- ISSN
- 2160-3308 (ISSN-L)
- OpenAlex
- W2801305581
- Cited by
- 383
- References
- 118
- Citations by year
- 2026: 45 · 2025: 82 · 2024: 52 · 2023: 49 · 2022: 43 · 2021: 41 · 2020: 35 · 2019: 32 · 2018: 4
- FWCI
- 15.90
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Physical Review X (publishedVersion, cc-by)
- arXiv (Cornell University) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- arXiv (Cornell University)
- Funders
- Australian Research Council (DP160102426)
- 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 › Quantum Information and Cryptography
- Keywords
- quantum circuits, qubitization, quantum phase estimation, Hubbard model, superconducting qubits, query complexity, correlated electrons
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.
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