Monte Carlo framework that provides MPI parallelization, checkpointing and statistical postprocessing in an algorithm-agnostic way.

an implementation of the tensor renormalization group (TRG) for two dimensional Ising model

Code for our paper "Hamiltonian Neural Networks"

Utilities for computing Wilson loops and Wannier Hamiltonians for both fermionic and bosonic systems

PythTB-based package for nested Wilson loop and spin-resolved tight-binding calculations

Deep neural network-based solution to the ground and excited states of 1D and 2D Bose-Hubbard model

A relaxed kp model of twisted bilayer graphene

Electronic structure calculation of twisted bilayer graphene

A mirror of https://gitlab.kwant-project.org/qt/qsymm

Quantum Lattice Model Simulator Package

Python script to optimize effective hamiltonian parameters for ferroelectric perovskite oxides

Advanced tool for Wannier interpolation and integration of k-space integrals

reproduce some results of arXiv:2010.14516

Machine learning algorithms for many-body quantum systems

This is code of book "Learn Deep Learning with PyTorch"

Tight-Binding Modeling for Materials at Mesoscale

A library for easy and efficient manipulation of tensor networks.

Mathematica Packages for Physicists

DeePTB: A deep learning package for tight-binding approach with ab initio accuracy.

Collection of commonly used Green's functions and utilities

Calculation of the electronic band structure and density of states of twisted trilayer graphene with two independent twist angles using a momentum space continuum model.

Numerical implementation of Berry curvature calculation for tight binding Hamiltonians

Experiments with Group Equivariant Convolutions in PyTorch

Approximate implementation of "Solving the Quantum Many-Body Problem with Artificial Neural Networks by Giuseppe Carleo, Matthias Troyer" with Python and Numpy

My RBM implementation of paper "Solving the quantum many-body problem with artificial neural networks"

Shaanxi Normal University PhD/Master's Thesis LaTeX Template

Library to allow calling fortran code from python

A python wrapper for doing ED calculations on many-body systems