Quantum Hardware Design. Open-source project for engineers and scientists to design superconducting quantum devices with ease.
-
Updated
Jan 20, 2025 - Python
Quantum Hardware Design. Open-source project for engineers and scientists to design superconducting quantum devices with ease.
Machine learning algorithms for many-body quantum systems
Code for our paper "Hamiltonian Neural Networks"
Computer Algebra, Physics and Differential Geometry in Clojure.
Deep neural networks for density functional theory Hamiltonian.
A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton
The Emmy Computer Algebra System.
AI research environment for the game of Snake 🐍 .
DeePTB: A deep learning package for tight-binding Hamiltonian with ab initio accuracy.
Computer algebra tools for symbolic manipulations in quantum mechanics and quantum information
A library for building differential equations arising from physical problems for physics-informed and scientific machine learning (SciML)
Julia package for the construction of quantum lattice systems.
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
Scientific Python package for solving Slater Koster tight-binding topological hamiltonian
Exercise solutions for Daniel Liberzon's "Calculus of Variations and Optimal Control Theory: A Concise Introduction" book and other optimal control problems
Numerically solves equations of motion for a given Hamiltonian function
A tool to read and operate OpenMX HKS (Kohn-Sham Hamiltonian) files
Sample from Quantum Hamiltonians using decision diagrams
Extended DeepH (xDeepH) method for magnetic materials.
Find all the Hamiltonian Cycles present in given graph
Add a description, image, and links to the hamiltonian topic page so that developers can more easily learn about it.
To associate your repository with the hamiltonian topic, visit your repo's landing page and select "manage topics."