Python library to compute properties of quantum tight binding models, including topological, electronic and magnetic properties and including the effect of many-body interactions.

Mirror of the Kwant project https://gitlab.kwant-project.org/kwant/kwant

Python package for eigenchannels, vibrations and inelastic electron transport based on SIESTA/TranSIESTA DFT

A CUDA-implementation of linear-scaling quantum transport methods

User interface to perform quantum transport calculations with non equilibrium Green's functions

Efficient construction, manipunation, and information extraction of/from tight-binding models

An open-source C++ software for efficient nanoscale quantum transport simulations

A 200-line MATLAB code for a linear-scaling quantum transport method

Python codes provides a class object to calculate quantum mechanical transmission probability across arbitrary potential barriers by using the piece wise constant method.

Numerical implementation of diagrammatic scattering theory for few-photon transport through Bose-Hubbard lattices

Calculate electrical and thermal conductance in multi-terminal settings of the quantum Hall effect. Includes an ipython GUI for demonstration.

Computational study of Environment-Assisted Quantum Transport (ENAQT) in open quantum chains. Validated against 1,000 exact HEOM trajectories; enhancement scales as ~2.1N with chain length; structural disorder amplifies rather than destroys ENAQT — universal in 95–100% of random configurations.

Simulating Spontaneous Running Waves and Self-Oscillatory Transport in Dirac Fluids. arXiv: 2512.16571

Quantum transport for molecular junctions in python

mastering python for scientific computing

quantum transport simulations in one dimension

Non-Equilibrium Green's function approach for quantum transport

This Repo includes the conductance calculation codes and the plotting codes for the paper (arXiv: 1901.02655).