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Python framework for creating, editing, and invoking Noisy Intermediate-Scale Quantum (NISQ) circuits.
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.
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.
Qᴜᴀʟᴛʀᴀɴ is a Python library for expressing and analyzing Fault Tolerant Quantum algorithms.
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.
Companion code for Learn Quantum Computing with Python and Q# Book by Dr. Sarah Kaiser and Dr. Cassandra Granade 💖
OpenFermion plugin to interface with the electronic structure package Psi4.
QuEra's Neutral Atom SDK for Analog QPUs
Quantum computational chemistry based on TensorCircuit
The Fermionic Quantum Emulator (FQE) is a fermionic simulation research tool specializing in quantum circuits emulating fermion dynamics.
Quantum many body simulations in the Pauli strings representation
A reference implementation for a quantum virtual machine in Python