DanPuzzuoli's Stars
google/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Qiskit/qiskit
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
patrick-kidger/diffrax
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
mit-han-lab/torchquantum
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.
mcmtroffaes/sphinxcontrib-bibtex
Sphinx extension for bibtex style references.
qiskit-community/qiskit-experiments
Qiskit Experiments
qiskit-community/qiskit-dynamics
Tools for building and solving models of quantum systems in Qiskit
QuantumUtils/quantum-utils-mathematica
QuantumUtils for Mathematica is a software library for quantum information scientists.
USCqserver/OpenQuantumTools.jl
Julia toolkit for open quantum system simulation.
LLNL/quandary
Optimal control for open quantum systems
qgrad/qgrad
A Python library to integrate automatic differentiation tools such as JAX with QuTiP and related quantum software packages.
wheerd/multiset
A multiset implementation for python
qiskit-community/lindbladmpo
A matrix-product-operators solver for the dynamics of interacting qubits modeled by a Lindblad master equation, written in C++ and wrapped with an easy-to-use Python interface.