Kunal Sharma
Impact in
- Artificial Intelligence top 1%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Neural Networks and Reservoir Computing
- Neural Networks and Applications
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- Quantum and electron transport phenomena
- Quantum Mechanics and Applications
- Quantum many-body systems
Papers in
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- Quantum Computing Algorithms and Architecture 26
- Quantum Information and Cryptography 24
- Neural Networks and Reservoir Computing 4
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- Quantum Mechanics and Applications 10
- Quantum and electron transport phenomena 6
- Co-authors
- Patrick J. Coles (10 shared papers)M. Cerezo (8 shared papers)Zoë Holmes (4 shared papers)Łukasz Cincio (6 shared papers)Mark M. Wilde (11 shared papers)Andrew Sornborger (3 shared papers)Hsin-Yuan Huang (2 shared papers)Martín Larocca (3 shared papers)
- Journals
- Physical Review Letters (4 papers)Physical review. A (3 papers)PRX Quantum (3 papers)Physical Review Research (2 papers)Nature Communications (1 paper)
- Partner nations
- United StatesIndiaSwitzerland
In The Last Decade
Kunal Sharma
31 papers receiving 1.4k citations
Kunal Sharma's Hit Papers
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 1.3k
- Atomic and Molecular Physics, and Optics 564
- Computational Theory and Mathematics 193
- Computational Mathematics 4
- Hardware and Architecture 26
Countries citing papers authored by Kunal Sharma
This map shows the geographic impact of Kunal Sharma'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 Kunal Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunal Sharma more than expected).
Fields of papers citing papers by Kunal Sharma
This network shows the impact of papers produced by Kunal Sharma. 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 Kunal Sharma. The network helps show where Kunal Sharma may publish in the future.
Co-authors
The 25 scholars most cited alongside Kunal Sharma, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Connecting Ansatz Expressibility to Gradient Magnitudes and Barren Plateaus Hit paper breakdown → | 2022 | 332 |
| 2 | Generalization in quantum machine learning from few training data Hit paper breakdown → | 2022 | 259 |
| 3 | Diagnosing Barren Plateaus with Tools from Quantum Optimal Control Hit paper breakdown → | 2022 | 140 |
| 4 | Noise resilience of variational quantum compiling | 2020 | 125 |
| 5 | 2022 | 109 | |
| 6 | 2022 | 70 | |
| 7 | Barren plateaus in variational quantum computing Hit paper breakdown → | 2025 | 67 |
| 8 | 2019 | 42 | |
| 9 | Bounding the energy-constrained quantum and private capacities of phase-insensitive bosonic Gaussian channels | 2018 | 41 |
| 10 | 2022 | 37 | |
| 11 | Chemistry beyond the scale of exact diagonalization on a quantum-centric supercomputer Hit paper breakdown → | 2025 | 36 |
| 12 | 2023 | 30 | |
| 13 | 2024 | 23 | |
| 14 | 2023 | 20 | |
| 15 | 2018 | 14 | |
| 16 | 2020 | 12 | |
| 17 | 2020 | 9 | |
| 18 | 2021 | 9 | |
| 19 | 2012 | 9 | |
| 20 | 2024 | 8 |
About Kunal Sharma
Kunal Sharma is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Water Science and Technology and Mechanical Engineering, having authored 36 papers that have together received 1.4k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (26 papers), Quantum Information and Cryptography (24 papers), Quantum Mechanics and Applications (10 papers), Quantum and electron transport phenomena (6 papers), Neural Networks and Reservoir Computing (4 papers), Mineral Processing and Grinding (3 papers), Minerals Flotation and Separation Techniques (3 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Atomic and Molecular Physics, and Optics (564 citations), Computational Theory and Mathematics (193 citations), Computational Mathematics (4 citations) and Hardware and Architecture (26 citations). Kunal Sharma has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Patrick J. Coles, M. Cerezo, Zoë Holmes, Łukasz Cincio, Mark M. Wilde, Andrew Sornborger, Hsin-Yuan Huang, Martín Larocca, Piotr Czarnik and Andrew Arrasmith. Their work appears in journals such as Physical Review Letters, Physical review. A, PRX Quantum, Physical Review Research and Nature Communications.
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.