Ryan Babbush
Impact in
- Artificial Intelligence top 0.1%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Neural Networks and Reservoir Computing
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- Quantum and electron transport phenomena
- Quantum many-body systems
- Quantum Mechanics and Applications
- Spectroscopy and Quantum Chemical Studies
Papers in
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- Quantum Computing Algorithms and Architecture 54
- Quantum Information and Cryptography 38
- Neural Networks and Reservoir Computing 5
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- Quantum and electron transport phenomena 28
- Quantum many-body systems 9
- Spectroscopy and Quantum Chemical Studies 4
- Co-authors
- Jarrod R. McClean (25 shared papers)Alán Aspuru‐Guzik (13 shared papers)Hartmut Neven (15 shared papers)Sergio Boixo (6 shared papers)Vadim Smelyanskiy (6 shared papers)Jonathan Romero (1 shared paper)Dominic W. Berry (22 shared papers)Craig Gidney (11 shared papers)
- Journals
- PRX Quantum (10 papers)Physical Review X (4 papers)Nature Communications (4 papers)npj Quantum Information (3 papers)Nature (3 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Ryan Babbush
65 papers receiving 7.1k citations
Ryan Babbush's Hit Papers
Peers
Comparison fields: 5 of 142
- Artificial Intelligence 6.4k
- Atomic and Molecular Physics, and Optics 3.7k
- Computational Theory and Mathematics 1.2k
- Computational Mathematics 31
- Hardware and Architecture 179
Countries citing papers authored by Ryan Babbush
This map shows the geographic impact of Ryan Babbush'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 Ryan Babbush with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Babbush more than expected).
Fields of papers citing papers by Ryan Babbush
This network shows the impact of papers produced by Ryan Babbush. 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 Ryan Babbush. The network helps show where Ryan Babbush may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Babbush, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The theory of variational hybrid quantum-classical algorithms Hit paper breakdown → | 2016 | 1376 |
| 2 | Barren plateaus in quantum neural network training landscapes Hit paper breakdown → | 2018 | 1280 |
| 3 | Characterizing quantum supremacy in near-term devices Hit paper breakdown → | 2018 | 667 |
| 4 | Quantum advantage in learning from experiments Hit paper breakdown → | 2022 | 325 |
| 5 | Quantum error mitigation Hit paper breakdown → | 2023 | 297 |
| 6 | Quantum Simulation of Electronic Structure with Linear Depth and Connectivity Hit paper breakdown → | 2018 | 262 |
| 7 | 2018 | 239 | |
| 8 | Even More Efficient Quantum Computations of Chemistry Through Tensor Hypercontraction Hit paper breakdown → | 2021 | 198 |
| 9 | Commercialize quantum technologies in five years Hit paper breakdown → | 2017 | 181 |
| 10 | 2021 | 166 | |
| 11 | Evaluating the evidence for exponential quantum advantage in ground-state quantum chemistry Hit paper breakdown → | 2023 | 158 |
| 12 | Unbiasing fermionic quantum Monte Carlo with a quantum computer Hit paper breakdown → | 2022 | 148 |
| 13 | 2019 | 137 | |
| 14 | 2015 | 129 | |
| 15 | 2020 | 125 | |
| 16 | 2014 | 107 | |
| 17 | 2020 | 106 | |
| 18 | 2015 | 102 | |
| 19 | 2018 | 95 | |
| 20 | 2021 | 95 |
About Ryan Babbush
Ryan Babbush is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics, Electrical and Electronic Engineering and Materials Chemistry, having authored 68 papers that have together received 7.3k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (54 papers), Quantum Information and Cryptography (38 papers), Quantum and electron transport phenomena (28 papers), Quantum many-body systems (9 papers), Quantum-Dot Cellular Automata (6 papers), Neural Networks and Reservoir Computing (5 papers), Spectroscopy and Quantum Chemical Studies (4 papers) and Machine Learning in Materials Science (4 papers). The work is most often cited by research in Artificial Intelligence (6.4k citations), Atomic and Molecular Physics, and Optics (3.7k citations), Computational Theory and Mathematics (1.2k citations), Computational Mathematics (31 citations) and Hardware and Architecture (179 citations). Ryan Babbush has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Jarrod R. McClean, Alán Aspuru‐Guzik, Hartmut Neven, Sergio Boixo, Vadim Smelyanskiy, Jonathan Romero, Dominic W. Berry, Craig Gidney, Jiang Zhang and William J. Huggins. Their work appears in journals such as PRX Quantum, Physical Review X, Nature Communications, npj Quantum Information and Nature.
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.