Cody Wang

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Atomic and Molecular Physics, and Optics — 11 citations into it

Whom Cody Wang trusts overall

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

1. Maria Schuld
2. Edward Farhi
3. Ying Li
4. Nathan Killoran
5. Andrea Mari

Papers from Cody Wang's perspective

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

1. A Quantum Approximate Optimization Algorithm
2. Quantum circuit learning (Physical Review A)
3. and s
4. Quantum Machine Learning in Feature Hilbert Spaces. (Physical Review Letters)
5. Automatic differentiation in PyTorch
6. Classification with Quantum Neural Networks on Near Term Processors
7. Supervised learning with quantum-enhanced feature spaces (Nature)
8. Evaluating analytic gradients on quantum hardware (Physical Review A)
9. Quantum autoencoders for efficient compression of quantum data
10. PennyLane: Automatic differentiation of hybrid quantum-classical computations (arXiv.org)

Their papers

• General parameter-shift rules for quantum gradients (2021) — 388 citations