Martín Larocca

Artificial Intelligence · 2021–2024

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Martín Larocca trusts overall

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

  1. M. Cerezo
  2. Jarrod R. McClean
  3. Alan M. Frieze
  4. Dave Wecker
  5. Ying Li
  6. Patrick J. Coles
  7. Edward Farhi
  8. Zoe Holmes
  9. Alberto Peruzzo
  10. Sukin Sim

Papers from Martín Larocca's perspective

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

  1. A variational eigenvalue solver on a photonic quantum processor (Nature Communications)
  2. Quantum Computing in the NISQ era and beyond (Quantum)
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Progress towards practical quantum variational algorithms
  6. Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
  7. Quantum Computation and Quantum Information
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. A Quantum Approximate Optimization Algorithm
  10. The theory of variational hybrid quantum-classical algorithms

Their papers