Hamiltonian Python Packages

netket

Machine learning algorithms for many-body quantum systems

quantum-metal

Python framework for designing & analyzing superconducting quantum chips. Lite-by-default, headless-friendly, EDA-grade.

hybridsuperqubits

Python framework for simulating hybrid semiconductor-superconductor quantum circuits (FerBo, Andreev, Fluxonium, Gatemon, Gatemonium)

pydiffgame

PyDiffGame is a Python implementation of a Nash Equilibrium solution to Differential Games, based on a reduction of Game Hamilton-Bellman-Jacobi (GHJB) equations to Game Algebraic and Differential Riccati equations, associated with Multi-Objective Dynamical Control Systems

dptb

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

qiskit-metal

Python framework for designing & analyzing superconducting quantum chips. Lite-by-default, headless-friendly, EDA-grade.

torchebm

🍓 Build and train energy-based and diffusion models in PyTorch ⚡.

pyhamsys

pyHamSys is a Python package for scientific computations involving Hamiltonian systems

hamlorenz

Hamiltonian Lorenz-like models

nu-waves

Python library for calculating flavour oscillation probability of neutrinos

qubitos

QubitOS: open-source quantum control kernel. Pulse optimization, hardware abstraction, calibration management.

kpm-tools

KPM Tools

sympt

Symbolic Perturbation Theory (SymPT) is a Python package for symbolic perturbative transformations on quantum systems. SymPT helps compute effective Hamiltonians for both time-independent and time-dependent systems at both operator and matrix level.

pysktb

Scientific Python package for solving Slater Koster tight-binding topological hamiltonian

walk-the-loop

A simple game to learn about hamiltonian cycles, by doing. Find hamiltonian paths in 5 platonic graphs and a 6th derived from a polycube of an octahedron.

phase-space-chem

Electron Transfer, Diabatic Couplings and Vibronic Energy Gaps in a Phase Space Framework