341 citations · 778 across the 15 of their papers we have counts for
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cond-mat.str-el2018★ 64 cited
Stripe and superconducting order competing in the Hubbard model on a square lattice studied by a combined variational Monte Carlo and tensor network method
Andrew S. Darmawan, Yusuke Nomura, Youhei Yamaji +1
The long-studied Hubbard model is one of the simplest models of copper-oxide superconductors. However, the connection between the model and the experimental phase diagram is still…
cond-mat.str-el2017★ 341 cited
Restricted-Boltzmann-Machine Learning for Solving Strongly Correlated Quantum Systems
Yusuke Nomura, Andrew S. Darmawan, Youhei Yamaji +1
We develop a machine learning method to construct accurate ground-state wave functions of strongly interacting and entangled quantum spin as well as fermionic models on lattices. A…