Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.

Curated list of open-source quantum software projects.

An open-source Python framework for hybrid quantum-classical machine learning.

Python package for compiling and analyzing quantum algorithms to simulate electronic structures.

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.

Fast C++ and Python library for state-vector simulation of quantum circuits.

Qᴜᴀʟᴛʀᴀɴ is a Python library for expressing and analyzing Fault Tolerant Quantum algorithms.

Tensor network based quantum software framework for the NISQ era

Python modules for quantum computing applications and experiments using Cirq. Research using Cirq!

Tutorials for Quantum Algorithms with Qiskit implementations.

Library for pulse-level/analog control of neutral atom devices. Emulator with QuTiP.

Tensor Train Toolbox

OpenFermion plugin to interface with the electronic structure package PySCF.

Fast universal quantum circuit sampler for QEC based on ZX stabilizer rank decomposition

Companion code for Learn Quantum Computing with Python and Q# Book by Dr. Sarah Kaiser and Dr. Cassandra Granade 💖

QuEra's Neutral Atom SDK for Analog QPUs

OpenFermion plugin to interface with the electronic structure package Psi4.

Next-gen AI-native tensor-network-based quantum software framework

Quantum computational chemistry based on TensorCircuit

High-performance, differentiable quantum state-vector & tensor network simulator in 100% pure JAX (no classical framework overhead). Accelerated on NVIDIA GPUs and Google Cloud TPU v6e-64/v5e VM clusters up to 37 qubits! Supported by Google's TPU Research Cloud (TRC) program.