Patrick Rall
Impact in
- Artificial Intelligence top 5%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Neural Networks and Reservoir Computing
Papers in ⓘ
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- Quantum Computing Algorithms and Architecture 11
- Quantum Information and Cryptography 8
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- Quantum many-body systems 3
- Quantum Mechanics and Applications 2
- Quantum and electron transport phenomena 1
- Co-authors
- Dmitri Maslov (1 shared paper)Theodore J. Yoder (1 shared paper)Sergey Bravyi (1 shared paper)Jay Gambetta (1 shared paper)Andrew W. Cross (1 shared paper)Paweł Wocjan (1 shared paper)Chunhao Wang (1 shared paper)J.L. Cook (1 shared paper)
- Journals
- Quantum (2 papers)Physical review. A (2 papers)IEEE Transactions on Quantum Engineering (1 paper)Nature (1 paper)PRX Quantum (1 paper)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Patrick Rall
12 papers receiving 371 citations
Hit Papers
Peers
Comparison fields: 5 of 39
- Artificial Intelligence 322
- Computational Mathematics 4
- Atomic and Molecular Physics, and Optics 192
- Computational Theory and Mathematics 82
- Statistical and Nonlinear Physics 29
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 | 173 |
| 2 | 2024 | 42 | |
| 3 | 2020 | 40 | |
| 4 | 2019 | 32 | |
| 5 | 2023 | 27 | |
| 6 | 2021 | 21 | |
| 7 | 2020 | 19 | |
| 8 | 2023 | 11 | |
| 9 | 2019 | 10 | |
| 10 | 2022 | 4 | |
| 11 | 2025 | 2 | |
| 12 | 2023 | 2 | |
| 13 | 2024 | 0 |
About Patrick Rall
Patrick Rall is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics, Geometry and Topology and Signal Processing, having authored 13 papers that have together received 383 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (11 papers), Quantum Information and Cryptography (8 papers), Quantum-Dot Cellular Automata (3 papers), Quantum many-body systems (3 papers), Quantum Mechanics and Applications (2 papers), Algebraic and Geometric Analysis (1 paper), Algebraic structures and combinatorial models (1 paper) and Quantum and electron transport phenomena (1 paper). The work is most often cited by research in Artificial Intelligence (322 citations), Computational Mathematics (4 citations), Atomic and Molecular Physics, and Optics (192 citations), Computational Theory and Mathematics (82 citations) and Statistical and Nonlinear Physics (29 citations). Patrick Rall has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Dmitri Maslov, Theodore J. Yoder, Sergey Bravyi, Jay Gambetta, Andrew W. Cross, Paweł Wocjan, Chunhao Wang, J.L. Cook, Alireza Seif and Zlatko Minev. Their work appears in journals such as Quantum, Physical review. A, IEEE Transactions on Quantum Engineering, Nature and PRX Quantum.
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.