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20222026
most citedPyQMC: an all-Python real-space quantum Monte Carlo module in PySCF

21 citations · 38 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.str-el2026★ 2 cited

Ab Initio Many Body Quantum Embedding and Local Correlation in Crystalline Materials using Interpolative Separable Density Fitting

Junjie Yang, Ning Zhang, Shunyue Yuan +3

We present an efficient implementation of ab initio many-body quantum embedding and local correlation methods for infinite periodic systems through translational symmetry adapted i…

physics.chem-ph2024★ 2 cited

Image Super-resolution Inspired Electron Density Prediction

Chenghan Li, Or Sharir, Shunyue Yuan +1

Drawing inspiration from the domain of image super-resolution, we view the electron density as a 3D grayscale image and use a convolutional residual network to transform a crude an…

cond-mat.mtrl-sci2022★ 21 cited

PyQMC: an all-Python real-space quantum Monte Carlo module in PySCF

William A. Wheeler, Shivesh Pathak, Kevin Kleiner +11

We describe a new open-source Python-based package for high accuracy correlated electron calculations using quantum Monte Carlo (QMC) in real space: PyQMC. PyQMC implements modern…

hep-lat2022★ 5 cited

Gauge Equivariant Neural Networks for 2+1D U(1) Gauge Theory Simulations in Hamiltonian Formulation

Di Luo, Shunyue Yuan, James Stokes +1

Gauge Theory plays a crucial role in many areas in science, including high energy physics, condensed matter physics and quantum information science. In quantum simulations of latti…

physics.chem-ph2022★ 8 cited

Quantification of electron correlation for approximate quantum calculations

Shunyue Yuan, Yueqing Chang, Lucas K. Wagner

State-of-the-art many-body wave function techniques rely on heuristics to achieve high accuracy at an attainable cost to solve the many-body Schrödinger equation. By far the most c…