Cedric Yen-Yu Lin

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

Whom Cedric Yen-Yu Lin trusts

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

  1. Nathan Killoran (in Artificial Intelligence)
  2. Simon C. Benjamin (in Artificial Intelligence)
  3. Ying Li (in Artificial Intelligence)
  4. Maria Schuld (in Artificial Intelligence)
  5. Josh A. Izaac (in Artificial Intelligence)
  6. Edward Farhi (in Artificial Intelligence)
  7. Thomas R. Bromley (in Artificial Intelligence)

Papers from Cedric Yen-Yu Lin's perspective

Ordered by how strongly the researchers Cedric Yen-Yu Lin 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. Evaluating analytic gradients on quantum hardware (Physical Review A)
  8. Quantum autoencoders for efficient compression of quantum data
  9. Supervised learning with quantum-enhanced feature spaces (Nature)
  10. PennyLane: Automatic differentiation of hybrid quantum-classical computations (arXiv.org)

Their papers