Abhinav Kandala

Artificial Intelligence · 2017–2023

A researcher in the Science corpus: 9 papers; trusts 22 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 176 citations into it; #10,097 of 35,345 by trust here, #3,175 by citations
• Atomic and Molecular Physics, and Optics — 134 citations into it; #6,944 of 7,135 by trust here, #2,081 by citations
• Electrical and Electronic Engineering — 22 citations into it

Whom Abhinav Kandala trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Sergey Bravyi
2. James C. Spall
3. John Preskill
4. Jay M. Gambetta
5. S. Sheldon
6. Ying Li
7. Jarrod R. McClean
8. Kristan Temme
9. Suguru Endo
10. Simon C. Benjamin

Who trusts Abhinav Kandala overall

1. M. Cerezo
2. Sergey Bravyi
3. Suguru Endo
4. Zhenyu Cai
5. Ryan Babbush
6. Piotr Czarnik
7. Marcello Benedetti
8. Ryuji Takagi
9. Andrew Arrasmith
10. Prakash Murali

Papers from Abhinav Kandala's perspective

Ordered by how strongly the researchers Abhinav Kandala trusts endorse each paper. Same corpus, a different order for every researcher.

1. I and J
2. Characterizing quantum supremacy in near-term devices (Nature Physics)
3. Cloud Quantum Computing of an Atomic Nucleus. (Physical Review Letters)
4. Quantum Computation and Quantum Information
5. Scalable and robust randomized benchmarking of quantum processes. (Physical Review Letters)
6. Quantum Machine Learning in Feature Hilbert Spaces. (Physical Review Letters)
7. Quantum Computing in the NISQ era and beyond (Quantum)
8. Elucidating reaction mechanisms on quantum computers (Proceedings of the National Academy of Sciences of the United States of America)
9. Practical Quantum Error Mitigation for Near-Future Applications (Physical Review X)
10. Multivariate stochastic approximation using a simultaneous perturbation gradient approximation

Their papers

• Supervised learning with quantum-enhanced feature spaces (2018) — 2,729 citations
• Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets (2017) — 3,380 citations
• Quantum optimization using variational algorithms on near-term quantum devices (2017) — 764 citations
• Probabilistic error cancellation with sparse Pauli–Lindblad models on noisy quantum processors (2022) — 431 citations
• Evidence for the utility of quantum computing before fault tolerance (2023) — 1,339 citations
• Dynamics of superconducting qubit relaxation times (2021) — 132 citations
• Demonstration of quantum volume 64 on a superconducting quantum computing system (2020) — 501 citations
• Mitigating measurement errors in multiqubit experiments (2020) — 324 citations
• Error mitigation extends the computational reach of a noisy quantum processor (2018) — 893 citations