Quantum Machine Learning Python Packages

pennylane-lightning

The Lightning plugin ecosystem provides fast quantum state-vector and tensor network simulators written in C++ for use with PennyLane.

pennylane

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.

tensorcircuit-nightly

The next-gen AI-native tensor-network-based quantum software framework

cuda-quantum-cu13

C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows

cudaq

C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows

pennylane-lightning-kokkos

The Lightning plugin ecosystem provides fast quantum state-vector and tensor network simulators written in C++ for use with PennyLane.

tfq-nightly

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

pennylane-lightning-gpu

The Lightning plugin ecosystem provides fast quantum state-vector and tensor network simulators written in C++ for use with PennyLane.

cuda-quantum-cu12

C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows

classiq

The Classiq Library is the largest collection of quantum algorithms and applications. It is the best way to explore quantum computing software. We welcome community contributions to our Library 🙌

covalent

Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.

pyqtorch

PyTorch-based state vector and density matrix simulator

cuda-quantum

C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows

skqulacs

scikit-qulacs is a library for quantum neural network. This library is based on qulacs and named after scikit-learn.

tensorflow-quantum

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

psipose

Scikit-learn compatible quantum machine learning, powered by PennyLane.

pennylane-lightning-tensor

The Lightning plugin ecosystem provides fast quantum state-vector and tensor network simulators written in C++ for use with PennyLane.

cova

Covalent Workflow Tool

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.

quantum-image-classifier

Package to develop quantum image classifier algorithms.

tensorcircuit

Tensor network based quantum software framework for the NISQ era

quairkit

QuAIRKit is a Python SDK for algorithm development on quantum computing, quantum information, and quantum machine learning. It focuses on flexible design, real-time simulation and rapid verification of quantum and classical algorithms.

deepquantum

DeepQuantum for quantum computing

qhbmlib

Quantum Hamiltonian-Based Models built on TensorFlow Quantum