Ryan Larose

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 40 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Ryan Larose trusts overall

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

  1. Maria Schuld
  2. Edward Farhi
  3. R. Fisher
  4. Peter Wittek
  5. Kristan Temme
  6. E. Stoudenmire
  7. John Preskill
  8. Marcello Benedetti
  9. Nathan Killoran
  10. Seth Lloyd

Who trusts Ryan Larose overall

  1. Tak Hur
  2. M. Cerezo
  3. Martín Larocca
  4. Piotr Czarnik
  5. L. Kim
  6. Patrick J. Coles
  7. Eric R. Anschuetz
  8. Daniel K. Park
  9. Maria Schuld
  10. Andrew Arrasmith

Papers from Ryan Larose's perspective

Ordered by how strongly the researchers Ryan Larose 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. Quantum Computation and Quantum Information
  4. Supervised Learning with Tensor Networks (Neural Information Processing Systems)
  5. Quantum Machine Learning in Feature Hilbert Spaces. (Physical Review Letters)
  6. Et al
  7. Gradient-based learning applied to document recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Quantum Computing in the NISQ era and beyond (Quantum)
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers