Julia package for the construction of quantum lattice systems.

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

Deep neural networks for density functional theory Hamiltonian.

Machine learning algorithms for many-body quantum systems

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

The Emmy Computer Algebra System.

Hamiltonian systems: the periodically kicked rotator, and fluid flow due to vortices which are switched periodically.

A parallel and GPU-accelerated Code for Real-Space All-Electron Linear-Scaling Density Functional Theory

Finding the optimal thrust control and orbital trajectory to orbit a rocket around the moon by Dallin Stewart, Dylan Skinner, and Jason Vasquez

Suite for the implementation of different matrix element interactions

pyHamSys is a Python package for scientific computations involving Hamiltonian systems

A library for building differential equations arising from physical problems for physics-informed and scientific machine learning (SciML)

Guiding-center dynamics in plasma physics

Markov Chain Monte Carlo

Computer algebra tools for symbolic manipulations in quantum mechanics and quantum information

Computer Algebra, Physics and Differential Geometry in Clojure.

Circuit for real-time simulation of Z tensor-n Hamiltonian

Hamiltonian Gauge Gravity Surveyor (HiGGS). Tools for Hamiltonian constraint, canonical and Dirac-Bergmann analysis of gravity theories with spacetime curvature and torsion.

Qham is a Python SDK designed to bridge the gap between theoretical physics and practical quantum computing applications. It provides a comprehensive suite of tools for exploring, simulating, and analyzing Hamiltonian processes across statistical mechanics and quantum mechanics.