D. Bondarenko

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Atomic and Molecular Physics, and Optics — 7 citations into it

Whom D. Bondarenko trusts overall

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

1. Radford M. Neal
2. Yazhen Wang

Who trusts D. Bondarenko overall

1. Eric R. Anschuetz

Papers from D. Bondarenko's perspective

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

1. Quantum Computation and Quantum Information
2. Pattern Recognition and Machine Learning
3. and s
4. Quantum Principal Component Analysis
5. Towards the fast scrambling conjecture (Journal of High Energy Physics)
6. Learning and relearning in Boltzmann machines
7. Efficient Quantum Algorithms for Simulating Sparse Hamiltonians
8. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
9. The algebraic eigenvalue problem
10. Monte Carlo Sampling Methods Using Markov Chains and Their Applications

Their papers

• Training deep quantum neural networks (2019) — 740 citations