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

PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.

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

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

Companion site for the textbook Quantum Computing: An Applied Approach

A fast stabilizer circuit library.

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.

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

Quantum Circuit Simulator implemented in JavaScript

Study resources for learning quantum computing

OpenFermion plugin to interface with the electronic structure package PySCF.

OpenFermion plugin to interface with the electronic structure package Psi4.

The Fermionic Quantum Emulator (FQE) is a fermionic simulation research tool specializing in quantum circuits emulating fermion dynamics.

The PennyLane-Cirq plugin integrates Google's Cirq software library with with PennyLane's quantum machine learning capabilities.

A docker container for quantum machine learning (QML) research

Cirq/PyTorch implementation of Quantum Architecture Search via Deep Reinforcement Learning by (Kuo et al., 2021)

Open-source API library providing common operations for adding quantum behaviors to games.

A collection of Python samples demonstrating how to get started with IonQ using various quantum frameworks

Cirq adapter for IQM's quantum computers