Ryan Sweke

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ryan Sweke trusts overall

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

  1. Ferenc Weisz
  2. Maria Schuld
  3. Edward Farhi
  4. Patrick Rebentrost
  5. Kosuke Mitarai
  6. Adrián Pérez-Salinas
  7. Ville Bergholm
  8. Nathan Killoran

Papers from Ryan Sweke's perspective

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

  1. Quantum Computation and Quantum Information: Bibliography
  2. Classification with Quantum Neural Networks on Near Term Processors
  3. Supervised learning with quantum-enhanced feature spaces (Nature)
  4. Quantum circuit learning (Physical Review A)
  5. Quantum Machine Learning in Feature Hilbert Spaces. (Physical Review Letters)
  6. The theory of variational hybrid quantum-classical algorithms
  7. Circuit-centric quantum classifiers (Physical Review A)
  8. Barren plateaus in quantum neural network training landscapes (Nature Communications)
  9. Quantum Natural Gradient (Quantum)
  10. PennyLane: Automatic differentiation of hybrid quantum-classical computations (arXiv.org)

Their papers