Bo Peng

Artificial Intelligence · with Alexeev · 2021

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

Subfields

Whom Bo Peng trusts overall

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

  1. Sergey Bravyi
  2. Jonathan Romero
  3. Jarrod R. McClean
  4. Ryan Babbush
  5. Sam McArdle

Papers from Bo Peng's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. A Fast Learning Algorithm for Deep Belief Nets
  4. Deep Learning
  5. Quantum Computing in the NISQ era and beyond (Quantum)
  6. Quantum computational chemistry (Reviews of Modern Physics)
  7. Strategies for quantum computing molecular energies using the unitary coupled cluster ansatz (Quantum Science and Technology)
  8. Gradient-based learning applied to document recognition
  9. Absence of Barren Plateaus in Quantum Convolutional Neural Networks (Physical Review X)
  10. Learning in modular systems

Their papers