Andrew Arrasmith

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 120 citations into it; #32,026 of 35,345 by trust here, #16,471 by citations
• Atomic and Molecular Physics, and Optics — 72 citations into it; #6,849 of 7,135 by trust here, #6,251 by citations
• Electrical and Electronic Engineering — 10 citations into it

Whom Andrew Arrasmith trusts overall

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

1. Jarrod R. McClean
2. Suguru Endo
3. Maria Schuld
4. Kristan Temme
5. Edward Farhi
6. Simon C. Benjamin
7. Rolando D. Somma
8. Sergey Bravyi
9. Abhinav Kandala
10. Jonathan Romero

Who trusts Andrew Arrasmith overall

1. M. Cerezo
2. Ryuji Takagi

Papers from Andrew Arrasmith's perspective

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

1. A Quantum Approximate Optimization Algorithm
2. Quantum circuit learning (Physical Review A)
3. Quantum Machine Learning in Feature Hilbert Spaces. (Physical Review Letters)
4. Multivariate stochastic approximation using a simultaneous perturbation gradient approximation
5. Quantum Computing in the NISQ era and beyond (Quantum)
6. Supervised learning with quantum-enhanced feature spaces (Nature)
7. Scalable Quantum Simulation of Molecular Energies
8. The theory of variational hybrid quantum-classical algorithms
9. Supervised Learning with Tensor Networks (Neural Information Processing Systems)
10. Quantum machine learning (Nature)

Their papers

• Variational quantum algorithms (2020) — 3,982 citations
• Error mitigation with Clifford quantum-circuit data (2020) — 310 citations