Adam Bouland
- Artificial Intelligence top 5%
- Quantum Computing Algorithms and Architecture 10
- Quantum Information and Cryptography 10
- Neural Networks and Reservoir Computing 2
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- Quantum Mechanics and Applications 4
- Quantum and electron transport phenomena 2
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- Computability, Logic, AI Algorithms 4
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- Cosmology and Gravitation Theories 2
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- Photonic and Optical Devices 2
- Co-authors
- Bill FeffermanUmesh VaziraniChinmay NirkheScott AaronsonLynn ChuaNing BaoStephen P. JordanJonas Haferkamp
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsHistory and Philosophy of Science
- Partner nations
- United StatesUnited KingdomSingapore
In The Last Decade
Adam Bouland
20 papers receiving 300 citations
Peers
Comparison fields: 5 of 40
- Artificial Intelligence 260
- Atomic and Molecular Physics, and Optics 184
- History and Philosophy of Science 21
- Computational Theory and Mathematics 49
- Acoustics and Ultrasonics 2
Countries citing papers authored by Adam Bouland
This map shows the geographic impact of Adam Bouland'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 Adam Bouland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam Bouland more than expected).
Fields of papers citing papers by Adam Bouland
This network shows the impact of papers produced by Adam Bouland. 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 Adam Bouland. The network helps show where Adam Bouland may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Adam Bouland, 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 | 2024 | 4 | |
| 2 | 2020 | 18 | |
| 3 | 2020 | 4 | |
| 4 | Trading Inverses for an Irrep in the Solovay-Kitaev Theorem | 2018 | 1 |
| 5 | 2018 | 158 | |
| 6 | 2018 | 4 | |
| 7 | Quantum Advantage from Conjugated Clifford Circuits. | 2017 | 1 |
| 8 | 2017 | 8 | |
| 9 | 2016 | 16 | |
| 10 | 2016 | 1 | |
| 11 | 2016 | 5 | |
| 12 | 2016 | 3 | |
| 13 | 2016 | 8 | |
| 14 | 2014 | 25 | |
| 15 | Any Beamsplitter Generates Universal Quantum Linear Optics | 2013 | 1 |
| 16 | ψ-epistemic theories: The role of symmetry | 2013 | 13 |
| 17 | 2013 | 1 | |
| 18 | 2013 | 33 | |
| 19 | 2011 | 2 | |
| 20 | Analytical Simulation and Verification of Air Gun Impact Testing | 2005 | 2 |
About Adam Bouland
Adam Bouland is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Atomic and Molecular Physics, and Optics, having authored 20 papers that have together received 308 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (10 papers), Quantum Information and Cryptography (10 papers), Quantum Mechanics and Applications (4 papers), Computability, Logic, AI Algorithms (4 papers), Cosmology and Gravitation Theories (2 papers), Neural Networks and Reservoir Computing (2 papers), Quantum and electron transport phenomena (2 papers) and Photonic and Optical Devices (2 papers). The work is most often cited by research in Artificial Intelligence (260 citations), Atomic and Molecular Physics, and Optics (184 citations) and History and Philosophy of Science (21 citations). Adam Bouland has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Bill Fefferman, Umesh Vazirani, Chinmay Nirkhe, Scott Aaronson, Lynn Chua, Ning Bao, Stephen P. Jordan, Jonas Haferkamp, Dominik Hangleiter and Juan Bermejo-Vega. Their work appears in journals such as Physical Review Letters, Nature Physics and Physical Review A.
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.