Patrick Rall
Impact in
- Artificial Intelligence top 2%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
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- Quantum many-body systems
- Quantum and electron transport phenomena
- Advanced Chemical Physics Studies
- Quantum Mechanics and Applications
- Cold Atom Physics and Bose-Einstein Condensates
Papers in
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- Quantum Computing Algorithms and Architecture 12
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- Cellular Automata and Applications 1
- Co-authors
- Andrew W. Cross (1 shared paper)Theodore J. Yoder (1 shared paper)Sergey B. Bravyi (1 shared paper)Jay Gambetta (1 shared paper)Scott Aaronson (1 shared paper)Paweł Wocjan (1 shared paper)Chunhao Wang (1 shared paper)Zlatko Minev (1 shared paper)
- Journals
- Quantum (3 papers)Physical Review A (2 papers)PRX Quantum (1 paper)Future Generation Computer Systems (1 paper)npj Quantum Information (1 paper)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Patrick Rall
14 papers receiving 665 citations
Patrick Rall's Hit Papers
Peers
Comparison fields: 5 of 25
- Artificial Intelligence 637
- Atomic and Molecular Physics, and Optics 89
- Statistical and Nonlinear Physics 8
- Nuclear and High Energy Physics 10
- Software 2
Countries citing papers authored by Patrick Rall
This map shows the geographic impact of Patrick Rall'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 Patrick Rall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Rall more than expected).
Fields of papers citing papers by Patrick Rall
This network shows the impact of papers produced by Patrick Rall. 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 Patrick Rall. The network helps show where Patrick Rall may publish in the future.
Co-authors
The 21 scholars most cited alongside Patrick Rall, 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 | High-threshold and low-overhead fault-tolerant quantum memory Hit paper breakdown → | 2024 | 283 |
| 2 | 2019 | 80 | |
| 3 | Efficient Long-Range Entanglement Using Dynamic Circuits Hit paper breakdown → | 2024 | 76 |
| 4 | 2024 | 61 | |
| 5 | 2020 | 46 | |
| 6 | 2019 | 45 | |
| 7 | 2023 | 42 | |
| 8 | 2021 | 28 | |
| 9 | 2023 | 16 | |
| 10 | 2022 | 6 | |
| 11 | 2025 | 3 | |
| 12 | 2021 | 2 | |
| 13 | 2023 | 2 | |
| 14 | 2024 | 1 |
About Patrick Rall
Patrick Rall is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Nuclear and High Energy Physics, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 14 papers that have together received 691 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (12 papers), Cellular Automata and Applications (1 paper) and Black Holes and Theoretical Physics (1 paper). The work is most often cited by research in Artificial Intelligence (637 citations), Atomic and Molecular Physics, and Optics (89 citations), Statistical and Nonlinear Physics (8 citations), Nuclear and High Energy Physics (10 citations) and Software (2 citations). Patrick Rall has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Andrew W. Cross, Theodore J. Yoder, Sergey B. Bravyi, Jay Gambetta, Scott Aaronson, Paweł Wocjan, Chunhao Wang, Zlatko Minev, Edward H. Chen and Derek S. Wang. Their work appears in journals such as Quantum, Physical Review A, PRX Quantum, Future Generation Computer Systems and npj Quantum Information.
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.