116 citations · 147 across the 5 of their papers we have counts for
5 papers
An Analysis of First- and Quasi-Second-Order Optimization Algorithms in Variational Monte Carlo
Ruojing Peng, Garnet Kin-Lic Chan
Many quantum many-body wavefunctions, such as Jastrow-Slater, tensor network, and neural quantum states, are studied with the variational Monte Carlo technique, where stochastic op…
Accurate Simulation of the Hubbard Model with Finite Fermionic Projected Entangled Pair States
Wen-Yuan Liu, Huanchen Zhai, Ruojing Peng +2
We demonstrate the use of finite-size fermionic projected entangled pair states, in conjunction with variational Monte Carlo, to perform accurate simulations of the ground-state of…
Fermionic tensor network contraction for arbitrary geometries
Yang Gao, Huanchen Zhai, Johnnie Gray +5
We describe our implementation of fermionic tensor network contraction on arbitrary lattices within both a globally ordered and locally ordered formalism. We provide a pedagogical…
Tensor Network Computations That Capture Strict Variationality, Volume Law Behavior, and the Efficient Representation of Neural Network States
Wen-Yuan Liu, Si-Jing Du, Ruojing Peng +2
We introduce a change of perspective on tensor network states that is defined by the computational graph of the contraction of an amplitude. The resulting class of states, which we…
Block2: a comprehensive open source framework to develop and apply state-of-the-art DMRG algorithms in electronic structure and beyond
Huanchen Zhai, Henrik R. Larsson, Seunghoon Lee +10
Block2 is an open source framework to implement and perform density matrix renormalization group and matrix product state algorithms. Out-of-the-box it supports the eigenstate, tim…