A Python toolkit for lattice field theory, quantum computing, and machine learning
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Updated
Oct 8, 2024 - Python
A Python toolkit for lattice field theory, quantum computing, and machine learning
Grid-based workflow management system for lattice field theory simulations
A native Julia code for lattice QCD with dynamical fermions in 4 dimension.
a C++11 library for lattice QCD data analysis
R package implementing analysis tools for lattice QCD
Error propagation and statistical analysis for Markov chain Monte Carlo simulations in lattice QCD and statistical mechanics using autograd
Application of the L2HMC algorithm to simulations in lattice QCD.
Utilities of gauge fields
Utilities for making eigenvector, elemental and perambulator in the framework of the distillation method in lattice QCD.
Use Python for lattice QCD research based on the QUDA library.
Lattice quantum chromodynamics simulation library for Fugaku and computers with wide SIMD
Rust library for setting up and running distributed Monte-Carlo statistical simulations. Designed primarily for lattice QCD.
A set of Python tools for statistically analyzing data. This includes aspects of lattice QCD applications related to QCD phenomenology.
This is a mini-app based on the Grid C++ lattice QCD library (https://github.com/paboyle/Grid)
Monte-Carlo simulations of four-dimensional Yang-Mills theories coupled to scalar and fermion fields
A tool to help create XML files conforming to QCDml for the purpose of storing ILDG configurations.
Dataset for the paper https://arxiv.org/abs/2202.08795
Classical lattice QCD simulation in Rust
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