Ehsan Khatami
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 Ehsan Khatami trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Matthias Troyer (in Atomic and Molecular Physics, and Optics)
- Giuseppe Carleo (in Atomic and Molecular Physics, and Optics)
Papers from Ehsan Khatami's perspective
Ordered by how strongly the researchers Ehsan Khatami 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)
- Computational complexity and fundamental limitations to fermionic quantum Monte Carlo simulations (Physical Review Letters)
- On the quantitative analysis of deep belief networks
- Probing the Superfluid–to–Mott Insulator Transition at the Single-Atom Level (Science)
- This PDF file includes: Materials and Methods
- A Practical Introduction to Tensor Networks: Matrix Product States and Projected Entangled Pair States
- Experimental entanglement of six photons in graph states
- Natural Gradient Works Eciently in Learning
- Quantum Computing in the NISQ era and beyond (Quantum)
Their papers
- Machine Learning Phases of Strongly Correlated Fermions (2016) — 310 citations