A Python toolkit for lattice field theory, quantum computing, and machine learning
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Updated
May 19, 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
Error propagation and statistical analysis for Markov chain Monte Carlo simulations in lattice QCD and statistical mechanics using autograd
R package implementing analysis tools for lattice QCD
Application of the L2HMC algorithm to simulations in lattice QCD.
Rust library for setting up and running distributed Monte-Carlo statistical simulations. Designed primarily for lattice QCD.
Lattice quantum chromodynamics simulation library for Fugaku and computers with wide SIMD
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
Utilities of gauge fields
A set of Python tools for statistically analyzing correlated data. This includes aspects of lattice QCD applications related to QCD phenomenology.
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
String Theory III and quantum gravity research collaboration hub
Reference implementations of SBCGrQ and other Block Conjugate-Gradient iterative Krylov solvers in C++/Eigen
Numerical simulation code for non-abelian gauge theories
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