Guillaume Verdon

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 51 citations into it
• Atomic and Molecular Physics, and Optics — 25 citations into it

Whom Guillaume Verdon trusts overall

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

1. Maria Schuld
2. John Preskill
3. Hsin-Yuan Huang
4. Iris Cong
5. Nathan Killoran
6. M. Cerezo
7. James Stokes

Papers from Guillaume Verdon's perspective

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

1. Quantum Computation and Quantum Information
2. Quantum Machine Learning in Feature Hilbert Spaces. (Physical Review Letters)
3. Quantum Computing in the NISQ era and beyond (Quantum)
4. Supervised learning with quantum-enhanced feature spaces (Nature)
5. A variational eigenvalue solver on a photonic quantum processor (Nature Communications)
6. Quantum Natural Gradient (Quantum)
7. Barren plateaus in quantum neural network training landscapes (Nature Communications)
8. Quantum machine learning (Nature)
9. Continuous-variable quantum neural networks (Physical Review Research)
10. Quantum supremacy using a programmable superconducting processor (Nature)

Their papers

• Challenges and opportunities in quantum machine learning (2022) — 804 citations