Litcius/Paper detail

<tt>PyQMC</tt>: An all-Python real-space quantum Monte Carlo module in <tt>PySCF</tt>

William A. Wheeler, Shivesh Pathak, Kevin G. Kleiner, Shunyue Yuan, J. N. B. Rodrigues, Cooper Lorsung, Kittithat Krongchon, Yueqing Chang, Yiqing Zhou, Brian Busemeyer, Kiel T. Williams, Alexander R. Muñoz, Chun Yu Chow, Lucas K. Wagner

2023The Journal of Chemical Physics21 citationsDOIOpen Access PDF

Abstract

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 versions of QMC algorithms in an accessible format, enabling algorithmic development and easy implementation of complex workflows. Tight integration with the PySCF environment allows for a simple comparison between QMC calculations and other many-body wave function techniques, as well as access to high accuracy trial wave functions.

Topics & Concepts

Python (programming language)Quantum Monte CarloComputer scienceWorkflowComputational scienceMonte Carlo methodWave functionQuantumTheoretical computer scienceAlgorithmPhysicsProgramming languageMathematicsQuantum mechanicsStatisticsDatabaseAdvanced Chemical Physics StudiesMachine Learning in Materials SciencePhysics of Superconductivity and Magnetism