K. Ch'ng
Physical Review X · 2016
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom K. Ch'ng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts K. Ch'ng overall
Papers from K. Ch'ng's perspective
Ordered by how strongly the researchers K. Ch'ng trusts endorse each paper. Same corpus, a different order for every researcher.
- Solving the quantum many-body problem with artificial neural networks
- Machine learning phases of matter (Nature Physics)
- This PDF file includes: Materials and Methods
- Computational complexity and fundamental limitations to fermionic quantum Monte Carlo simulations (Physical Review Letters)
- On the quantitative analysis of deep belief networks
- Natural Gradient Works Eciently in Learning
- Probing the Superfluid–to–Mott Insulator Transition at the Single-Atom Level (Science)
- A Practical Introduction to Tensor Networks: Matrix Product States and Projected Entangled Pair States
- Experimental entanglement of six photons in graph states
- Quantum Computing in the NISQ era and beyond (Quantum)
Their papers
- Machine Learning Phases of Strongly Correlated Fermions (2016) — 310 citations