Andrea Simonetto

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Atomic and Molecular Physics, and Optics — 12 citations into it

Whom Andrea Simonetto trusts

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

1. John Preskill (in Artificial Intelligence)
2. Carl Doersch (in Artificial Intelligence)

Papers from Andrea Simonetto's perspective

Ordered by how strongly the researchers Andrea Simonetto 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. Quantum Computing in the NISQ era and beyond (Quantum)
4. Convex Optimization
5. Quantum circuit learning (Physical Review A)
6. Creating superpositions that correspond to efficiently integrable probability distributions
7. The theory of variational hybrid quantum-classical algorithms
8. Quantum Amplitude Amplification and Estimation
9. Quantum-state preparation with universal gate decompositions
10. Options, Futures, and Other Derivatives

Their papers

• Quantum Computing for Finance: State-of-the-Art and Future Prospects (2020) — 329 citations