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.

cuda-quantum-cu13

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.

cudaq

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

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

skqulacs

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

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 🙌

cuda-quantum

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

covalent

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

tensorflow-quantum

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

pyqtorch

PyTorch-based state vector and density matrix simulator

qml-pennylane

Modular Python framework for quantum machine learning using PennyLane, including variational classifiers, quantum kernels, and reproducible workflows for hybrid quantum–classical experiments.

tfq-nightly

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

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.

pennylane-lightning-tensor

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

tensorcircuit

Tensor network based quantum software framework for the NISQ era

matchcake

Fermionic Machine Learning python package built on PennyLane

quantum-image-classifier

Package to develop quantum image classifier algorithms.

squlearn

scikit-learn interface for quantum algorithms

qml-essentials

Python package with commonly used Ansaetze, tools and data-reuploading model in quantum machine learning.

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.

psipose

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