Measurements as a roadblock to near-term practical quantum advantage in chemistry: resource analysis
Open accessAbstract
Recent advances in quantum computing devices have brought attention to hybrid quantum-classical algorithms like the variational quantum eigensolver (VQE) as a potential route to practical quantum advantage in chemistry. However, it is not yet clear whether such algorithms, even in the absence of device error, could actually achieve quantum advantage for systems of practical interest. We have performed an exhaustive analysis to estimate the number of qubits and number of measurements required to compute the combustion energies of small organic molecules and related systems to within chemical accuracy of experimental values using the VQE. We consider several key modern improvements to the VQE, including low-rank factorizations of the Hamiltonian. Our results indicate that, although these techniques are useful, they will not be sufficient to achieve practical quantum computational advantage for our molecular set, or for similar molecules. This suggests that novel approaches to operator estimation leveraging quantum coherence, such as enhanced likelihood functions, may be required.
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
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?
As the molecule size increases, VQE requires a larger number of sub cycles for Hamiltonian averaging, projecting to unfeasibly long runtime for systems of practical importance.
“as the molecule size increases, VQE requires a larger number of sub cycles for Hamiltonian averaging (because of more terms in the Hamiltonian), projecting to unfeasibly long runtime for systems of practical importance [90, 102, 106, 107]”
From Quantum computing algorithms: getting closer to critical problems in computational biology (2022) · cites this paper as [107]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 73 · Cited by 120
Research works printed but not linked: 9
- Feasibility and timeframes of quantum computing, in Quantum Computing: Progress and Prospects, edited by E. Grumbling and M. Horowitz (National Academies, Washington, D.C., 2019), Chap. 7, pp. 156-189.
- V. E. Elfving, B. W. Broer, M. Webber, J. Gavartin, M. D. Halls, K. P. Lorton, and A. Bochevarov, How will quantum comput- ers provide an industrially relevant computational advantage in quantum chemistry? arXiv:2009.12472v1. · arXiv
- Y. Mochizuki, K. Okuwaki, T. Kato, and Y. Minato, Reduction of orbital space for molecular orbital calculations with quantum computation simulator for educations, chemrxiv.9863810.v1. · DOI
- P. Gokhale, O. Angiuli, Y. Ding, K. Gui, T. Tomesh, M. Suchara, M. Martonosi, and F. T. Chong, Minimizing state preparations in variational quantum eigensolver by partitioning into commuting families, arXiv:1907.13623. · arXiv
- See Supplemental Material at http://link.aps.org/supplemental/ 10.1103/PhysRevResearch.4.033154 for detailed quantum chemistry methods, additional classical benchmark data, and additional quantum resources investigations.
- Y. Kawashima, E. Lloyd, M. P. Coons, Y. Nam, S. Matsuura, A. J. Garza, S. Johri, L. Huntington, V. Senicourt, A. O. Maksymov, J. H. V. Nguyen, J. Kim, N. Alidoust, A. Zaribafiyan, and T. Yamazaki, Efficient and accurate electronic structure simulation demonstrated on a trapped-ion quantum computer, arXiv:2102.07045. · arXiv
- R. S. Smith, M. J. Curtis, and W. J. Zeng, A practical quantum instruction set architecture, arXiv:1608.03355. · arXiv
- T.-C. Yen, A. Ganeshram, and A. F. Izmaylov, Determinis- tic improvements of quantum measurements with grouping of compatible operators, non-local transformations, and covari- ance estimates, arXiv:2201:01471.
- M. Kohda, R. Imai, K. Kanno, K. Mitarai, W. Mizukami, and Y. O. Nakagawa, Quantum expectation value estimation by computational basis sampling, arXiv:2112.07416. · arXiv
- Authors
- Gonthier, J. F., Radin, M. D., Buda, C., Doskocil, E. J., Abuan, C. M., & Romero, J.
- Affiliations
- Zapata (United States) (US)
- BP (United States) (US)
- Venue
- Physical Review Research
- Publisher
- American Physical Society (APS)
- Published
- 2022-08-26
- Volume
- 4
- Issue
- 3
- ISSN
- 2643-1564 (ISSN-L)
- OpenAlex
- W4293162591
- Cited by
- 120
- References
- 73
- Citations by year
- 2026: 18 · 2025: 24 · 2024: 44 · 2023: 25 · 2022: 9
- FWCI
- 8.39
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Physical Review Research (publishedVersion, cc-by)
- arXiv (Cornell University) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- arXiv (Cornell University)
- Funders
- Zapata Computing
- 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 › Advanced Chemical Physics Studies
- Keywords
- quantum advantage, variational quantum eigensolver, hybrid quantum-classical algorithms, combustion energy, organic compounds, number of measurements, qubit requirements, chemical accuracy, quantum coherence
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