245 citations · 256 across the 4 of their papers we have counts for
6 papers
Irreversibility Enhances Quantum-Enhanced Markov-Chain Monte Carlo
Kefan Cao, Zidong Cui, Lei Wang +1
Detailed balance underlies conventional Markov-chain Monte Carlo (MCMC) algorithms. Yet in classical systems, breaking detailed balance generates irreversible probability currents…
Statistical mechanics of the -queens problem
Zong-Yue Liu, Hai-Jun Liao, Lei Wang
We investigate the -queens problem as a lattice gas -- a model in which queens are placed on an chessboard with pairwise repulsive interactions along shared row…
Autoregressive neural Slater-Jastrow ansatz for variational Monte Carlo simulation
Stephan Humeniuk, Yuan Wan, Lei Wang
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 variation…
Can Boltzmann Machines Discover Cluster Updates ?
Lei Wang
Boltzmann machines are physics informed generative models with wide applications in machine learning. They can learn the probability distribution from an input dataset and generate…
Recommender Engine for Continuous Time Quantum Monte Carlo Methods
Li Huang, Yi-feng Yang, Lei Wang
Recommender systems play an essential role in the modern business world. They recommend favorable items like books, movies, and search queries to users based on their past preferen…
Accelerate Monte Carlo Simulations with Restricted Boltzmann Machines
Li Huang, Lei Wang
Despite their exceptional flexibility and popularity, the Monte Carlo methods often suffer from slow mixing times for challenging statistical physics problems. We present a general…