Scott McFaddin

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 Scott McFaddin 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 Scott McFaddin's perspective

Ordered by how strongly the researchers Scott McFaddin 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. The theory of variational hybrid quantum-classical algorithms
7. Creating superpositions that correspond to efficiently integrable probability distributions
8. Quantum Amplitude Amplification and Estimation
9. Quantum-state preparation with universal gate decompositions
10. Supervised learning with quantum-enhanced feature spaces (Nature)

Their papers

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