Craig Gidney
- Artificial Intelligence top 1%
- Quantum Computing Algorithms and Architecture 17
- Quantum Information and Cryptography 10
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- Quantum and electron transport phenomena 7
- Quantum many-body systems 3
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- Quantum-Dot Cellular Automata 6
- Hardware and Architecture top 10%
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- Semiconductor materials and devices 2
- Advancements in Semiconductor Devices and Circuit Design 1
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- Protein Structure and Dynamics 1
- Co-authors
- Ryan BabbushJarrod R. McCleanDominic W. BerryNathan WiebeHartmut NevenAustin G. FowlerIan KivlichanAlán Aspuru‐Guzik
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsComputational Theory and Mathematics
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Physical Review Letters (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesAustraliaAustria
In The Last Decade
Craig Gidney
19 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 39
- Artificial Intelligence 1.3k
- Atomic and Molecular Physics, and Optics 782
- Computational Theory and Mathematics 321
- Computational Mathematics 4
- Hardware and Architecture 41
Countries citing papers authored by Craig Gidney
This map shows the geographic impact of Craig Gidney's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Craig Gidney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Craig Gidney more than expected).
Fields of papers citing papers by Craig Gidney
This network shows the impact of papers produced by Craig Gidney. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Craig Gidney. The network helps show where Craig Gidney may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Craig Gidney, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 5 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 10 | |
| 4 | 2023 | 36 | |
| 5 | 2022 | 65 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 30 | |
| 9 | Even More Efficient Quantum Computations of Chemistry Through Tensor Hypercontractionbreakdown → | 2021 | 189 |
| 10 | 2021 | 56 | |
| 11 | 2021 | 92 | |
| 12 | 2020 | 4 | |
| 13 | 2020 | 104 | |
| 14 | Qubitization of Arbitrary Basis Quantum Chemistry by Low Rank Factorization | 2019 | 3 |
| 15 | 2019 | 125 | |
| 16 | 2018 | 254 | |
| 17 | 2018 | 148 | |
| 18 | 2018 | 226 | |
| 19 | 2018 | 90 |
About Craig Gidney
Craig Gidney is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Atomic and Molecular Physics, and Optics, having authored 19 papers that have together received 1.4k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (17 papers), Quantum Information and Cryptography (10 papers), Quantum and electron transport phenomena (7 papers), Quantum-Dot Cellular Automata (6 papers), Quantum many-body systems (3 papers), Semiconductor materials and devices (2 papers), Advancements in Semiconductor Devices and Circuit Design (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Artificial Intelligence (1.3k citations), Atomic and Molecular Physics, and Optics (782 citations) and Computational Theory and Mathematics (321 citations). Craig Gidney has collaborated with scholars based in United States, Australia and Austria. Frequent co-authors include Ryan Babbush, Jarrod R. McClean, Dominic W. Berry, Nathan Wiebe, Hartmut Neven, Austin G. Fowler, Ian Kivlichan, Alán Aspuru‐Guzik, Michael Newman and Nathan Wiebe. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.