Autoregressive neural Slater-Jastrow ansatz for variational Monte Carlo simulation

Autoregressive neural Slater-Jastrow ansatz for variational Monte Carlo simulation

Direct sampling from a Slater determinant is combined with an autoregressive deep neural network as a Jastrow factor into a fully autoregressive Slater-Jastrow ansatz for variational quantum Monte Carlo, which allows for uncorrelated sampling. The elimination of the autocorrelation time leads to a...

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Bibliographic Details
Main Author: Stephan Humeniuk, Yuan Wan, Lei Wang
Format: Article
Language:English
Published: SciPost 2023-06-01
Series:SciPost Physics
Online Access:https://scipost.org/SciPostPhys.14.6.171

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