35 citations · 45 across the 2 of their papers we have counts for
2 papers
physics.comp-ph2023★ 10 cited
Differentiable programming tensor networks for Kitaev magnets
Xing-Yu Zhang, Shuang Liang, Hai-Jun Liao +2
We present a general computational framework to investigate ground state properties of quantum spin models on infinite two-dimensional lattices using automatic differentiation-base…
cond-mat.str-el2019★ 35 cited
Automatic Differentiation for Second Renormalization of Tensor Networks
Bin-Bin Chen, Yuan Gao, Yi-Bin Guo +7
Tensor renormalization group (TRG) constitutes an important methodology for accurate simulations of strongly correlated lattice models. Facilitated by the automatic differentiation…