An adaptive variational algorithm for exact molecular simulations on a quantum computer
Open accessAbstract
Quantum simulation of chemical systems is one of the most promising near-term applications of quantum computers. The variational quantum eigensolver, a leading algorithm for molecular simulations on quantum hardware, has a serious limitation in that it typically relies on a pre-selected wavefunction ansatz that results in approximate wavefunctions and energies. Here we present an arbitrarily accurate variational algorithm that, instead of fixing an ansatz upfront, grows it systematically one operator at a time in a way dictated by the molecule being simulated. This generates an ansatz with a small number of parameters, leading to shallow-depth circuits. We present numerical simulations, including for a prototypical strongly correlated molecule, which show that our algorithm performs much better than a unitary coupled cluster approach, in terms of both circuit depth and chemical accuracy. Our results highlight the potential of our adaptive algorithm for exact simulations with present-day and near-term quantum hardware.
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Compared to UCC, ADAPT-VQE produces significantly more compact states, resulting in shallower quantum circuits.
“For instance, compared to the prototypical unitary coupled cluster (UCC) approach, [5] ADAPT-VQE produces significantly more compact states, [9] resulting in shallower quantum circuits.”
From Limitations of Quantum Hardware for Molecular Energy Estimation Using VQE (2026) · cites this paper as [9]
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- Authors
- Grimsley, H. R., Economou, S. E., Barnes, E., & Mayhall, N. J.
- Affiliations
- Virginia Tech (US)
- Corresponding author
- Mayhall, Nicholas J.
- Venue
- Nature Communications
- Published
- 2019-07-08
- Volume
- 10
- Issue
- 1
- Pages
- 3007-3007
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC6614426
- OpenAlex
- W2954369586
- Cited by
- 1,033
- References
- 13
- Citations by year
- 2026: 133 · 2025: 200 · 2024: 204 · 2023: 155 · 2022: 133 · 2021: 138 · 2020: 58 · 2019: 12
- FWCI
- 39.01
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- arXiv (Cornell University) (publishedVersion)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- VTechWorks (Virginia Tech) (submittedVersion, cc-by)
- arXiv (Cornell University)
- Funders
- U.S. Department of Energy (DE-SC0019199, DE-SC0019318)
- National Science Foundation (1839136)
- 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
- variational quantum eigensolver, quantum chemistry simulation, quantum computing, strongly correlated molecules, circuit depth, unitary coupled cluster, chemical accuracy, variational algorithms
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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 ›
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