Deep learning quantum Monte Carlo for electrons in real space
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Updated
Oct 23, 2024 - Python
Deep learning quantum Monte Carlo for electrons in real space
The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation net…
Main repository for QMCPACK, an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids with full performance portable GPU support
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Repository for PseudopotentialLibrary.org website and database
Variational Quantum Monte Carlo for a molecule, using Fokker-Planck/Langevin approach
Example class structure for use in FYS4411: Quantum mechanical systems at UiO.
Implementation of Stochastic Series Expansion Monte Carlo method for the spin-S XXZ model. https://doi.org/10.1103/PhysRevE.67.046701
Efficient continuous-time quantum Monte Carlo method for spinless fermions
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Python wrappers for TurboRVB
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