Qubit-ADAPT-VQE: An Adaptive Algorithm for Constructing Hardware-Efficient Ansätze on a Quantum Processor
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The resources required to run a high-accuracy variational quantum eigensolver algorithm with a dynamically created ansatz are quantified and reduced significantly, easing the quantum simulation of many-body systems.
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Cites
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Variational quantum algorithms
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- Authors
- Tang, H. L., Shkolnikov, V. O., Barron, G. S., Grimsley, H. R., Mayhall, N. J., Barnes, E., & Economou, S. E.
- Affiliations
- Virginia Tech (US)
- Venue
- PRX Quantum
- Publisher
- American Physical Society (APS)
- Published
- 2021-04-28
- Volume
- 2
- Issue
- 2
- ISSN
- 2691-3399 (ISSN-L)
- OpenAlex
- W2990112601
- Cited by
- 408
- References
- 14
- Citations by year
- 2026: 48 · 2025: 93 · 2024: 106 · 2023: 87 · 2022: 50 · 2021: 24
- FWCI
- 23.60
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PRX Quantum (publishedVersion, cc-by)
- arXiv (Cornell University) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- Funders
- National Science Foundation (1839136)
- US Department of Energy (DE-SC0019199)
- 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 Mechanics and Applications
- Keywords
- variational quantum eigensolver, hardware-efficient ansatz, quantum resource quantification, variational quantum algorithms
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