Quantum Hardware Design. Open-source project for engineers and scientists to design superconducting quantum devices with ease.
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Updated
Feb 16, 2024 - 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
AI research environment for the game of Snake 🐍 .
A library for building differential equations arising from physical problems for physics-informed and scientific machine learning (SciML)
The Emmy Computer Algebra System.
DeePTB: A deep learning package for tight-binding approach with ab initio accuracy.
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
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
Numerically solves equations of motion for a given Hamiltonian function
A tool to read and operate OpenMX HKS (Kohn-Sham Hamiltonian) files
Computer algebra tools for symbolic manipulations in quantum mechanics and quantum information
Sample from Quantum Hamiltonians using decision diagrams
Find all the Hamiltonian Cycles present in given graph
Used in Deep Machine Learning and Lattice Quantum Chromodynamics
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