David McKay

5.5k total citations · 2 hit papers
49 papers, 2.3k citations indexed

About

David McKay is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Political Science and International Relations. According to data from OpenAlex, David McKay has authored 49 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Atomic and Molecular Physics, and Optics, 18 papers in Artificial Intelligence and 8 papers in Political Science and International Relations. Recurrent topics in David McKay's work include Quantum Information and Cryptography (17 papers), Quantum Computing Algorithms and Architecture (16 papers) and Cold Atom Physics and Bose-Einstein Condensates (14 papers). David McKay is often cited by papers focused on Quantum Information and Cryptography (17 papers), Quantum Computing Algorithms and Architecture (16 papers) and Cold Atom Physics and Bose-Einstein Condensates (14 papers). David McKay collaborates with scholars based in United States, Canada and United Kingdom. David McKay's co-authors include Brian DeMarco, Sarah Sheldon, Jay Gambetta, Matthew White, Jerry M. Chow, Matthew Pasienski, Christopher J. Wood, Abhinav Kandala, Sergey Bravyi and Easwar Magesan and has published in prestigious journals such as Nature, Physical Review Letters and Nature Communications.

In The Last Decade

David McKay

47 papers receiving 2.2k citations

Hit Papers

Efficient Z gates for quantum computing 2017 2026 2020 2023 2017 2021 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David McKay United States 23 1.7k 1.2k 278 153 152 49 2.3k
Olivier Giraud France 21 733 0.4× 380 0.3× 214 0.8× 15 0.1× 48 0.3× 98 1.1k
Frank Deppe Germany 22 2.2k 1.3× 1.9k 1.6× 119 0.4× 294 1.9× 23 0.2× 60 2.4k
Stefano Forte Italy 41 265 0.2× 234 0.2× 45 0.2× 134 0.9× 27 0.2× 143 7.1k
Diego Porras Spain 31 3.8k 2.2× 2.1k 1.8× 587 2.1× 160 1.0× 3 0.0× 87 4.1k
A. R. Dixon United Kingdom 13 567 0.3× 888 0.8× 14 0.1× 255 1.7× 7 0.0× 22 1.2k
Klaus M. Frahm France 21 819 0.5× 108 0.1× 289 1.0× 77 0.5× 4 0.0× 65 1.3k
Peter C. Humphreys United Kingdom 17 1.2k 0.7× 1.4k 1.2× 4 0.0× 560 3.7× 107 0.7× 58 1.9k
Axel Görlitz Germany 23 3.5k 2.0× 364 0.3× 456 1.6× 58 0.4× 15 0.1× 47 3.6k
Wolfgang Krieger Germany 26 752 0.4× 41 0.0× 35 0.1× 228 1.5× 40 0.3× 94 2.3k
Roberto Franzosi Italy 19 502 0.3× 126 0.1× 140 0.5× 7 0.0× 38 0.3× 57 1.0k

Countries citing papers authored by David McKay

Since Specialization
Citations

This map shows the geographic impact of David McKay'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 David McKay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David McKay more than expected).

Fields of papers citing papers by David McKay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David McKay. 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 David McKay. The network helps show where David McKay may publish in the future.

Co-authorship network of co-authors of David McKay

This figure shows the co-authorship network connecting the top 25 collaborators of David McKay. A scholar is included among the top collaborators of David McKay 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 David McKay. David McKay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Govia, Luke C. G., et al.. (2025). Randomized benchmarking protocol for dynamic circuits. Physical review. A. 111(1). 1 indexed citations
2.
Govia, Luke C. G., Bradley Mitchell, Alireza Seif, et al.. (2025). Bounding the Systematic Error in Quantum Error Mitigation due to Model Violation. PRX Quantum. 6(1). 2 indexed citations
3.
Wei, Ken Xuan, et al.. (2024). Native Two-Qubit Gates in Fixed-Coupling, Fixed-Frequency Transmons Beyond Cross-Resonance Interaction. PRX Quantum. 5(2). 11 indexed citations
4.
Govia, Luke C. G., Petar Jurcevic, Christopher J. Wood, et al.. (2023). A randomized benchmarking suite for mid-circuit measurements. New Journal of Physics. 25(12). 123016–123016. 12 indexed citations
5.
Wei, Ken Xuan, Easwar Magesan, Isaac Lauer, et al.. (2022). Hamiltonian Engineering with Multicolor Drives for Fast Entangling Gates and Quantum Crosstalk Cancellation. Physical Review Letters. 129(6). 60501–60501. 50 indexed citations
6.
Kandala, Abhinav, Ken Xuan Wei, Srikanth Srinivasan, et al.. (2021). Demonstration of a High-Fidelity cnot Gate for Fixed-Frequency Transmons with Engineered ZZ Suppression. Physical Review Letters. 127(13). 130501–130501. 104 indexed citations
7.
Brink, Markus, et al.. (2020). Suppression of Unwanted ZZ Interactions in a Hybrid Two-Qubit System. Physical Review Letters. 125(20). 200504–200504. 64 indexed citations
8.
Pritchett, Emily, Abhinav Kandala, & David McKay. (2020). Bounds on cross-resonance gate fidelity in an extended parameter regime. Bulletin of the American Physical Society.
9.
Kandala, Abhinav, Kristan Temme, Seth Merkel, et al.. (2020). Experimental considerations for zero noise extrapolation. Bulletin of the American Physical Society. 1 indexed citations
10.
McKay, David, Sarah Sheldon, John A. Smolin, Jerry M. Chow, & Jay Gambetta. (2019). Three-Qubit Randomized Benchmarking. Physical Review Letters. 122(20). 200502–200502. 90 indexed citations
11.
Naik, Ravi, Nelson L. C. Leung, Srivatsan Chakram, et al.. (2017). Random access quantum information processors using multimode circuit quantum electrodynamics. Nature Communications. 8(1). 1904–1904. 89 indexed citations
12.
McKay, David, Ravi Naik, Philip Reinhold, Lev S. Bishop, & David Schuster. (2015). High-Contrast Qubit Interactions Using Multimode Cavity QED. Physical Review Letters. 114(8). 80501–80501. 49 indexed citations
13.
McKay, David, et al.. (2013). Slow Thermalization between a Lattice and Free Bose Gas. Physical Review Letters. 111(6). 63002–63002. 13 indexed citations
14.
McKay, David, et al.. (2011). Low-temperature high-density magneto-optical trapping of potassium using the open4S5Ptransition at 405 nm. Physical Review A. 84(6). 43 indexed citations
15.
McKay, David & Brian DeMarco. (2011). Cooling in strongly correlated optical lattices: prospects and challenges. Reports on Progress in Physics. 74(5). 54401–54401. 130 indexed citations
16.
White, Matthew, et al.. (2009). Strongly Interacting Bosons in a Disordered Optical Lattice. Physical Review Letters. 102(5). 55301–55301. 171 indexed citations
17.
McKay, David, Matthew White, Matthew Pasienski, & Brian DeMarco. (2008). Phase-slip-induced dissipation in an atomic Bose–Hubbard system. Nature. 453(7191). 76–79. 62 indexed citations
18.
Aubin, S., M. Extavour, Stefan Myrskog, et al.. (2005). Trapping Fermionic 40K and Bosonic 87Rb on a Chip. Journal of Low Temperature Physics. 140(5-6). 377–396. 26 indexed citations
19.
McKay, David. (1999). Federalism and European Union: A Political Economy Perspective. OUP Catalogue. 9 indexed citations
20.
McKay, David. (1999). The Political Sustainability of European Monetary Union. British Journal of Political Science. 29(3). 463–485. 22 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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