Rudy Raymond

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Atomic and Molecular Physics, and Optics — 18 citations into it

Whom Rudy Raymond trusts overall

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

1. Ashley Montanaro

Papers from Rudy Raymond's perspective

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

1. Quantum Computation and Quantum Information
2. A Quantum Approximate Optimization Algorithm
3. Supervised learning with quantum-enhanced feature spaces (Nature)
4. Quantum circuit learning (Physical Review A)
5. Optimal quantum measurements of expectation values of observables
6. Quantum Computing in the NISQ era and beyond (Quantum)
7. Creating superpositions that correspond to efficiently integrable probability distributions
8. Polynomial-time quantum algorithm for the simulation of chemical dynamics (Proceedings of the National Academy of Sciences of the United States of America)
9. Convex Optimization
10. The theory of variational hybrid quantum-classical algorithms

Their papers

• Amplitude estimation without phase estimation (2019) — 295 citations
• Quantum Computing for Finance: State-of-the-Art and Future Prospects (2020) — 329 citations