Nathan Killoran
Impact in
- Artificial Intelligence top 0.2%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Neural Networks and Reservoir Computing
- Neural Networks and Applications
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- Quantum Mechanics and Applications
- Quantum and electron transport phenomena
- Quantum many-body systems
Papers in
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- Quantum Mechanics and Applications 16
- Semiconductor Quantum Structures and Devices 9
- Semiconductor materials and interfaces 6
- Quantum and electron transport phenomena 5
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- Quantum Computing Algorithms and Architecture 27
- Quantum Information and Cryptography 27
- Co-authors
- Maria Schuld (5 shared papers)Josh Izaac (6 shared papers)Ville Bergholm (2 shared papers)Pierre-Luc Dallaire-Demers (1 shared paper)Martin B. Plenio (6 shared papers)Christian Gogolin (1 shared paper)Thomas R. Bromley (4 shared papers)Andrea Mari (2 shared papers)
- Journals
- Quantum (7 papers)Physical review. A (5 papers)Solid State Communications (5 papers)Physical Review A (5 papers)Physical Review Letters (4 papers)
- Partner nations
- United KingdomCanadaGermany
In The Last Decade
Nathan Killoran
48 papers receiving 3.9k citations
Nathan Killoran's Hit Papers
Peers
Comparison fields: 5 of 91
- Artificial Intelligence 3.3k
- Atomic and Molecular Physics, and Optics 1.6k
- Computational Mathematics 17
- Computational Theory and Mathematics 453
- Acoustics and Ultrasonics 16
Countries citing papers authored by Nathan Killoran
This map shows the geographic impact of Nathan Killoran'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 Nathan Killoran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Killoran more than expected).
Fields of papers citing papers by Nathan Killoran
This network shows the impact of papers produced by Nathan Killoran. 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 Nathan Killoran. The network helps show where Nathan Killoran may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan Killoran, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Quantum Machine Learning in Feature Hilbert Spaces Hit paper breakdown → | 2019 | 936 |
| 2 | Evaluating analytic gradients on quantum hardware Hit paper breakdown → | 2019 | 623 |
| 3 | 2018 | 306 | |
| 4 | Quantum Natural Gradient Hit paper breakdown → | 2020 | 273 |
| 5 | Transfer learning in hybrid classical-quantum neural networks Hit paper breakdown → | 2020 | 255 |
| 6 | 2019 | 174 | |
| 7 | 2016 | 131 | |
| 8 | 2022 | 129 | |
| 9 | 2016 | 98 | |
| 10 | 2014 | 94 | |
| 11 | 2017 | 93 | |
| 12 | 2021 | 86 | |
| 13 | 2014 | 83 | |
| 14 | 2018 | 80 | |
| 15 | 2015 | 71 | |
| 16 | 1982 | 67 | |
| 17 | 2023 | 41 | |
| 18 | 1981 | 40 | |
| 19 | 2010 | 40 | |
| 20 | 2024 | 33 |
About Nathan Killoran
Nathan Killoran is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Electrical and Electronic Engineering, Biomedical Engineering and Condensed Matter Physics, having authored 50 papers that have together received 4.0k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (27 papers), Quantum Information and Cryptography (27 papers), Quantum Mechanics and Applications (16 papers), Semiconductor Quantum Structures and Devices (9 papers), Semiconductor materials and interfaces (6 papers), Superconducting Materials and Applications (5 papers), Semiconductor materials and devices (5 papers) and Quantum and electron transport phenomena (5 papers). The work is most often cited by research in Artificial Intelligence (3.3k citations), Atomic and Molecular Physics, and Optics (1.6k citations), Computational Mathematics (17 citations), Computational Theory and Mathematics (453 citations) and Acoustics and Ultrasonics (16 citations). Nathan Killoran has collaborated with scholars based in United Kingdom, Canada and Germany. Frequent co-authors include Maria Schuld, Josh Izaac, Ville Bergholm, Pierre-Luc Dallaire-Demers, Martin B. Plenio, Christian Gogolin, Thomas R. Bromley, Andrea Mari, James Stokes and Giuseppe Carleo. Their work appears in journals such as Quantum, Physical review. A, Solid State Communications, Physical Review A and Physical Review Letters.
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.