Brian Coyle

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 36 citations into it; #24,749 of 35,345 by trust here, #32,362 by citations
• Atomic and Molecular Physics, and Optics — 17 citations into it; #4,170 of 7,135 by trust here, #6,626 by citations

Whom Brian Coyle trusts overall

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

1. Maria Schuld
2. Peter Wittek
3. R. Fisher
4. Edward Farhi
5. E. Stoudenmire
6. Nathan Killoran
7. Seth Lloyd
8. Adrián Pérez-Salinas
9. Tyson Jones
10. Marcello Benedetti

Who trusts Brian Coyle overall

1. Tak Hur

Papers from Brian Coyle's perspective

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

1. A Quantum Approximate Optimization Algorithm
2. Quantum Computation and Quantum Information: Bibliography
3. Supervised Learning with Tensor Networks (Neural Information Processing Systems)
4. Quantum Machine Learning in Feature Hilbert Spaces. (Physical Review Letters)
5. Quantum Computing in the NISQ era and beyond (Quantum)
6. Barren plateaus in quantum neural network training landscapes (Nature Communications)
7. Supervised learning with quantum-enhanced feature spaces (Nature)
8. The theory of variational hybrid quantum-classical algorithms
9. Gradient-based learning applied to document recognition
10. Classification with Quantum Neural Networks on Near Term Processors

Their papers

• Robust data encodings for quantum classifiers (2020) — 340 citations