A Python toolkit for lattice field theory, quantum computing, and machine learning
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Updated
Jan 22, 2025 - Python
A Python toolkit for lattice field theory, quantum computing, and machine learning
Error propagation and statistical analysis for Monte Carlo simulations in lattice QCD and statistical mechanics using autograd.
Use Python for lattice QCD research based on the QUDA library.
Isovector nucleon axial coupling
Utilities for making eigenvector, elemental and perambulator in the framework of the distillation method in lattice QCD.
A Python package for computing monopole and sphaleron field configurations using TensorFlow
This repository contains the codebase for my research project, which involves computationally analyzing Z2 and SN lattice gauge theories. Utilizing the Kitaev Quantum Double Model (D(G)), the investigation focuses on determining the ground state properties of the system and conducting an analysis of the entanglement entropy.
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