Michael J. Bremner
Impact in
- Artificial Intelligence top 0.5%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Neural Networks and Reservoir Computing
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- Quantum Mechanics and Applications
- Quantum and electron transport phenomena
- Quantum many-body systems
- Cold Atom Physics and Bose-Einstein Condensates
Papers in
-
- Quantum Computing Algorithms and Architecture 15
- Quantum Information and Cryptography 14
- Neural Networks and Reservoir Computing 2
- Machine Learning and Algorithms 1
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- Quantum Mechanics and Applications 10
- Quantum many-body systems 2
- Co-authors
- Dan Shepherd (3 shared papers)Ashley Montanaro (2 shared papers)Michael A. Nielsen (6 shared papers)Jennifer L. Dodd (5 shared papers)Nan Ding (1 shared paper)Hartmut Neven (1 shared paper)Vadim Smelyanskiy (1 shared paper)Jiang Zhang (1 shared paper)
- Journals
- Physical Review A (6 papers)Physical Review Letters (3 papers)npj Quantum Information (2 papers)Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (1 paper)Nature Physics (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Michael J. Bremner
16 papers receiving 1.8k citations
Michael J. Bremner's Hit Papers
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 1.7k
- Atomic and Molecular Physics, and Optics 1.2k
- Computational Mathematics 11
- Computational Theory and Mathematics 255
- Hardware and Architecture 55
Countries citing papers authored by Michael J. Bremner
This map shows the geographic impact of Michael J. Bremner'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 Michael J. Bremner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Bremner more than expected).
Fields of papers citing papers by Michael J. Bremner
This network shows the impact of papers produced by Michael J. Bremner. 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 Michael J. Bremner. The network helps show where Michael J. Bremner may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael J. Bremner, 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 | Characterizing quantum supremacy in near-term devices Hit paper breakdown → | 2018 | 637 |
| 2 | 2016 | 175 | |
| 3 | 2002 | 173 | |
| 4 | 2003 | 119 | |
| 5 | 2017 | 110 | |
| 6 | 2017 | 105 | |
| 7 | 2009 | 102 | |
| 8 | 2002 | 98 | |
| 9 | 2007 | 93 | |
| 10 | 2009 | 86 | |
| 11 | 2002 | 79 | |
| 12 | 2008 | 25 | |
| 13 | 2004 | 19 | |
| 14 | 2005 | 12 | |
| 15 | 2023 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2026 | 1 |
About Michael J. Bremner
Michael J. Bremner is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics, Electrical and Electronic Engineering and Statistics and Probability, having authored 17 papers that have together received 1.8k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (15 papers), Quantum Information and Cryptography (14 papers), Quantum Mechanics and Applications (10 papers), Neural Networks and Reservoir Computing (2 papers), Quantum many-body systems (2 papers), Machine Learning and Algorithms (1 paper), Low-power high-performance VLSI design (1 paper) and Markov Chains and Monte Carlo Methods (1 paper). The work is most often cited by research in Artificial Intelligence (1.7k citations), Atomic and Molecular Physics, and Optics (1.2k citations), Computational Mathematics (11 citations), Computational Theory and Mathematics (255 citations) and Hardware and Architecture (55 citations). Michael J. Bremner has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Dan Shepherd, Ashley Montanaro, Michael A. Nielsen, Jennifer L. Dodd, Nan Ding, Hartmut Neven, Vadim Smelyanskiy, Jiang Zhang, John M. Martinis and Ryan Babbush. Their work appears in journals such as Physical Review A, Physical Review Letters, npj Quantum Information, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences and Nature Physics.
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.