Carlos Bravo-Prieto

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Carlos Bravo-Prieto trusts overall

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

  1. M. Powell
  2. Mario Szegedy
  3. Andrew M. Childs
  4. Dominic W. Berry
  5. Kristan Temme
  6. Juan Carlos García-Escartín
  7. Edward Farhi
  8. Aram Wettroth Harrow
  9. Richard H. Byrd
  10. Kosuke Mitarai

Who trusts Carlos Bravo-Prieto overall

  1. Martín Larocca
  2. M. Cerezo

Papers from Carlos Bravo-Prieto's perspective

Ordered by how strongly the researchers Carlos Bravo-Prieto trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Barren plateaus in quantum neural network training landscapes (Nature Communications)
  2. A Quantum Approximate Optimization Algorithm
  3. Quantum algorithm for linear systems of equations. (Physical Review Letters)
  4. Quantum Computing in the NISQ era and beyond (Quantum)
  5. Efficient Quantum Algorithms for Simulating Sparse Hamiltonians
  6. Quantum circuit learning (Physical Review A)
  7. A variational eigenvalue solver on a photonic quantum processor (Nature Communications)
  8. Efficient Variational Quantum Simulator Incorporating Active Error Minimization
  9. Hamiltonian Simulation with Nearly Optimal Dependence on all Parameters (IEEE Annual Symposium on Foundations of Computer Science)
  10. Quantum autoencoders for efficient compression of quantum data

Their papers