Craig Gidney

6.5k total citations · 1 hit paper
19 papers, 1.4k citations indexed

About

Craig Gidney is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Craig Gidney has authored 19 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 9 papers in Atomic and Molecular Physics, and Optics and 7 papers in Computational Theory and Mathematics. Recurrent topics in Craig Gidney's work include Quantum Computing Algorithms and Architecture (17 papers), Quantum Information and Cryptography (10 papers) and Quantum and electron transport phenomena (7 papers). Craig Gidney is often cited by papers focused on Quantum Computing Algorithms and Architecture (17 papers), Quantum Information and Cryptography (10 papers) and Quantum and electron transport phenomena (7 papers). Craig Gidney collaborates with scholars based in United States, Australia and Austria. Craig Gidney's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

Craig Gidney

19 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Even More Efficient Quantum Computations of Chemistry Through Tensor Hypercontraction

2021 189 citations Joonho Lee, Dominic W. Berry et al. PRX Quantum profile →

Peers

Craig Gidney

AI

AMPO

CTM

EEE

MC

Dave Wecker United States

Nathan Wiebe United States

Guang Hao Low United States

Matthias Degroote United States

Earl T. Campbell United Kingdom

Leonard Wossnig United Kingdom

Sam McArdle United Kingdom

Sarah Sheldon United States

William J. Huggins United States

Suguru Endo Japan

Dave Wecker United States

Craig Gidney

1.5k ×1.1

AI

1.1k ×1.4

AMPO

255 ×0.8

CTM

109 ×0.9

EEE

77 ×1.4

MC

Citations per year, relative to Craig Gidney Craig Gidney (= 1×) peers Dave Wecker

Countries citing papers authored by Craig Gidney

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Craig Gidney

This figure shows the co-authorship network connecting the top 25 collaborators of Craig Gidney. A scholar is included among the top collaborators of Craig Gidney based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Craig Gidney. Craig Gidney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

1.

Gidney, Craig, et al.. (2025). Yoked surface codes. Nature Communications. 16(1). 4498–4498. 5 indexed citations

2.

Khattar, Tanuj & Craig Gidney. (2025). Rise of conditionally clean ancillae for efficient quantum circuit constructions. Quantum. 9. 1752–1752. 1 indexed citations

3.

Gidney, Craig. (2024). Inplace Access to the Surface Code Y Basis. Quantum. 8. 1310–1310. 10 indexed citations

4.

McEwen, Matt, Dave Bacon, & Craig Gidney. (2023). Relaxing Hardware Requirements for Surface Code Circuits using Time-dynamics. Quantum. 7. 1172–1172. 36 indexed citations

5.

Goings, Joshua J., Alec F. White, Joonho Lee, et al.. (2022). Reliably assessing the electronic structure of cytochrome P450 on today’s classical computers and tomorrow’s quantum computers. Proceedings of the National Academy of Sciences. 119(38). e2203533119–e2203533119. 65 indexed citations

6.

Gidney, Craig. (2022). Data for "Inplace Access to the Surface Code Y Basis". Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

7.

Goings, Joshua J., Alec F. White, Christofer S. Tautermann, et al.. (2022). Data for "Reliably assessing the electronic structure of cytochrome P450 on today's classical computers and tomorrow's quantum computers". Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations

8.

Gidney, Craig, Michael Newman, & Matt McEwen. (2022). Benchmarking the Planar Honeycomb Code. Quantum. 6. 813–813. 30 indexed citations

9.

Lee, Joonho, Dominic W. Berry, Craig Gidney, et al.. (2021). Even More Efficient Quantum Computations of Chemistry Through Tensor Hypercontraction. PRX Quantum. 2(3). 189 indexed citations breakdown →

10.

Gidney, Craig, Michael Newman, Austin G. Fowler, & Michael Broughton. (2021). A Fault-Tolerant Honeycomb Memory. Quantum. 5. 605–605. 56 indexed citations

11.

Babbush, Ryan, Jarrod R. McClean, Michael Newman, et al.. (2021). Focus beyond Quadratic Speedups for Error-Corrected Quantum Advantage. PRX Quantum. 2(1). 92 indexed citations

12.

Lee, Joonho, Dominic W. Berry, Craig Gidney, et al.. (2020). Even more efficient quantum computations of chemistry through tensor hypercontraction. Zenodo (CERN European Organization for Nuclear Research). 4 indexed citations

13.

Kivlichan, Ian, Craig Gidney, Dominic W. Berry, et al.. (2020). Improved Fault-Tolerant Quantum Simulation of Condensed-Phase Correlated Electrons via Trotterization. Quantum. 4. 296–296. 104 indexed citations

14.

Berry, Dominic W., Craig Gidney, Mário Motta, Jarrod R. McClean, & Ryan Babbush. (2019). Qubitization of Arbitrary Basis Quantum Chemistry by Low Rank Factorization. arXiv (Cornell University). 3 indexed citations

15.

Berry, Dominic W., Craig Gidney, Mário Motta, Jarrod R. McClean, & Ryan Babbush. (2019). Qubitization of Arbitrary Basis Quantum Chemistry Leveraging Sparsity and Low Rank Factorization. Quantum. 3. 208–208. 125 indexed citations

16.

Kivlichan, Ian, Jarrod R. McClean, Nathan Wiebe, et al.. (2018). Quantum Simulation of Electronic Structure with Linear Depth and Connectivity. Physical Review Letters. 120(11). 110501–110501. 254 indexed citations

17.

Gidney, Craig. (2018). Halving the cost of quantum addition. Quantum. 2. 74–74. 148 indexed citations

18.

Babbush, Ryan, Craig Gidney, Dominic W. Berry, et al.. (2018). Encoding Electronic Spectra in Quantum Circuits with Linear T Complexity. Physical Review X. 8(4). 226 indexed citations

19.

Berry, Dominic W., Mária Kieferová, Artur Scherer, et al.. (2018). Improved techniques for preparing eigenstates of fermionic Hamiltonians. npj Quantum Information. 4(1). 90 indexed citations

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.

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