4 papers
SmoQyElPhQMC.jl: An open-source Julia package for efficient and scalable quantum Monte Carlo simulations of electron-phonon coupled models
Benjamin Cohen-Stead, James Neuhaus, Kipton Barros +2
We introduce version 1.0 of the SmoQyElPhQMC package, an open-source Julia code for performing scalable quantum Monte Carlo simulations of electron-phonon coupled model Hamiltonian…
Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions
Navjot Singh, Kipton Barros, Xiaoye Sherry Li
Objectives involving bilinear forms for Hermitian arise widely in scientific computing and probabilistic machine learning. For large matrices, Lanczos effici…
Neural networks as low-cost surrogates for impurity solvers in quantum embedding methods
Rohan Nain, Philip M. Dee, Kipton Barros +2
A promising application of machine learning is the creation of low-cost surrogate models to mitigate computational bottlenecks in quantum many-body simulations. Here, we explore wh…
SmoQyDQMC.jl: A flexible implementation of determinant quantum Monte Carlo for Hubbard and electron-phonon interactions (version 2.0 release)
Benjamin Cohen-Stead, Shruti Agarwal, Sohan Malkaruge Costa +6
We introduce version 2.0 of the SmoQyDQMC.jl package, a Julia implementation of the determinant quantum Monte Carlo algorithm. SmoQyDQMC.jl supports generalized tight-binding Hamil…