Kristan Temme

Artificial Intelligence · 2009–2023

A researcher in the Science corpus: 14 papers; trusts 37 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 221 citations into it; #4,816 of 35,345 by trust here, #2,502 by citations
• Atomic and Molecular Physics, and Optics — 191 citations into it; #4,545 of 7,135 by trust here, #1,500 by citations
• Computational Theory and Mathematics — 25 citations into it; #5,606 of 12,182 by trust here, #312 by citations
• Electrical and Electronic Engineering — 17 citations into it; #2,039 of 16,539 by trust here, #6,008 by citations
• Statistical and Nonlinear Physics — 14 citations into it
• Optimization & Training — 5 citations into it

Whom Kristan Temme trusts overall

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

1. Iroon Polytechniou
2. Sergey Bravyi
3. John Preskill
4. Jay M. Gambetta
5. Ying Li
6. James C. Spall
7. S. Sheldon
8. Edward Farhi
9. Suguru Endo
10. Dominic W. Berry

Who trusts Kristan Temme overall

1. Suguru Endo
2. Sergey Bravyi
3. M. Cerezo
4. Ryan Larose
5. Yudong Cao
6. Ewout van den Berg
7. Piotr Czarnik
8. Abhinav Kandala
9. Ryuji Takagi
10. Simon C. Benjamin

Papers from Kristan Temme's perspective

Ordered by how strongly the researchers Kristan Temme 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. Quantum Computation by Adiabatic Evolution
4. Quantum Machine Learning in Feature Hilbert Spaces. (Physical Review Letters)
5. Quantum Computation and Quantum Information
6. Cloud Quantum Computing of an Atomic Nucleus. (Physical Review Letters)
7. Influence of cultivation temperature on the ligninolytic activity of selected fungal strains
8. Quantum Computing in the NISQ era and beyond (Quantum)
9. Quantum circuit learning (Physical Review A)
10. Elucidating reaction mechanisms on quantum computers (Proceedings of the National Academy of Sciences of the United States of America)

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
• Error Mitigation for Short-Depth Quantum Circuits. (2016) — 1,433 citations
• Tapering off qubits to simulate fermionic Hamiltonians (2017) — 339 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
• Model-free readout-error mitigation for quantum expectation values (2020) — 212 citations
• Evidence for the utility of quantum computing before fault tolerance (2023) — 1,339 citations
• A rigorous and robust quantum speed-up in supervised machine learning (2020) — 765 citations
• Quantum Simulators: Architectures and Opportunities (2019) — 496 citations
• Error mitigation extends the computational reach of a noisy quantum processor (2018) — 893 citations
• Quantum logarithmic Sobolev inequalities and rapid mixing (2012) — 176 citations
• The χ2-divergence and mixing times of quantum Markov processes (2010) — 179 citations
• Quantum Metropolis sampling (2009) — 358 citations