Ryan Babbush
Impact in
- Artificial Intelligence top 0.02%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
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- Quantum many-body systems
- Advanced Chemical Physics Studies
- Cold Atom Physics and Bose-Einstein Condensates
- Topological Materials and Phenomena
- Quantum Mechanics and Applications
- Quantum and electron transport phenomena
Papers in
-
- Quantum Computing Algorithms and Architecture 81
- Quantum Information and Cryptography 9
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- Quantum many-body systems 14
- Strong Light-Matter Interactions 2
- Advanced Chemical Physics Studies 2
- Topological Materials and Phenomena 2
- Quantum and electron transport phenomena 1
- Quantum, superfluid, helium dynamics 1
- Co-authors
- Jarrod R. McClean (25 shared papers)Alán Aspuru‐Guzik (13 shared papers)Hartmut Neven (14 shared papers)Jonathan Romero (2 shared papers)Sergio Boixo (8 shared papers)Vadim Smelyanskiy (6 shared papers)Dominic W. Berry (22 shared papers)Craig Gidney (8 shared papers)
- Journals
- Nature (17 papers)PRX Quantum (13 papers)Science (7 papers)Physical Review X (7 papers)Nature Physics (5 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Ryan Babbush
93 papers receiving 14.7k citations
Ryan Babbush's Hit Papers
Peers
Comparison fields: 5 of 131
- Artificial Intelligence 13.1k
- Atomic and Molecular Physics, and Optics 2.7k
- Statistical and Nonlinear Physics 239
- Condensed Matter Physics 155
- Nuclear and High Energy Physics 134
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 96 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 | 1677 |
| 2 | Barren plateaus in quantum neural network training landscapes Hit paper breakdown → | 2018 | 1576 |
| 3 | Characterizing quantum supremacy in near-term devices Hit paper breakdown → | 2018 | 863 |
| 4 | Scalable Quantum Simulation of Molecular Energies Hit paper breakdown → | 2016 | 835 |
| 5 | Suppressing quantum errors by scaling a surface code logical qubit Hit paper breakdown → | 2023 | 798 |
| 6 | Strategies for quantum computing molecular energies using the unitary coupled cluster ansatz Hit paper breakdown → | 2018 | 566 |
| 7 | Quantum error correction below the surface code threshold Hit paper breakdown → | 2024 | 405 |
| 8 | Quantum error mitigation Hit paper breakdown → | 2023 | 398 |
| 9 | Quantum advantage in learning from experiments Hit paper breakdown → | 2022 | 386 |
| 10 | Digitized adiabatic quantum computing with a superconducting circuit Hit paper breakdown → | 2016 | 374 |
| 11 | Chiral ground-state currents of interacting photons in a synthetic magnetic field Hit paper breakdown → | 2016 | 367 |
| 12 | OpenFermion: the electronic structure package for quantum computers Hit paper breakdown → | 2020 | 353 |
| 13 | 2018 | 333 | |
| 14 | Exponential suppression of bit or phase errors with cyclic error correction Hit paper breakdown → | 2021 | 316 |
| 15 | 2018 | 302 | |
| 16 | 2018 | 264 | |
| 17 | Time-crystalline eigenstate order on a quantum processor Hit paper breakdown → | 2021 | 262 |
| 18 | Even More Efficient Quantum Computations of Chemistry Through Tensor Hypercontraction Hit paper breakdown → | 2021 | 244 |
| 19 | Information scrambling in quantum circuits Hit paper breakdown → | 2021 | 233 |
| 20 | 2020 | 230 |
About Ryan Babbush
Ryan Babbush is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Physical and Theoretical Chemistry, Statistics and Probability and Computational Theory and Mathematics, having authored 96 papers that have together received 15.3k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (81 papers), Quantum many-body systems (14 papers), Quantum Information and Cryptography (9 papers), Strong Light-Matter Interactions (2 papers), Advanced Chemical Physics Studies (2 papers), Topological Materials and Phenomena (2 papers), Quantum and electron transport phenomena (1 paper) and Quantum, superfluid, helium dynamics (1 paper). The work is most often cited by research in Artificial Intelligence (13.1k citations), Atomic and Molecular Physics, and Optics (2.7k citations), Statistical and Nonlinear Physics (239 citations), Condensed Matter Physics (155 citations) and Nuclear and High Energy Physics (134 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, Jonathan Romero, Sergio Boixo, Vadim Smelyanskiy, Dominic W. Berry, Craig Gidney, Peter J. Love and William J. Huggins. Their work appears in journals such as Nature, PRX Quantum, Science, Physical Review X 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.