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

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

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

covalent

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

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

skqulacs

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

pyqtorch

PyTorch-based state vector and density matrix simulator

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.

tensorflow-quantum

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

qhbmlib

Quantum Hamiltonian-Based Models built on TensorFlow Quantum

quprep

QuPrep is an open-source Python library for converting classical datasets into quantum-computing-ready formats. It provides a framework-agnostic preprocessing pipeline with intelligent encoding selection, hardware-aware dimensionality reduction, and multi-framework export support for Qiskit, PennyLane, Cirq, and TKET.

torchquantum

Quantum Computing in PyTorch

qml-pennylane

Modular PennyLane-based quantum machine learning suite for classification, regression, and quantum kernel methods.

squlearn

scikit-learn interface for quantum algorithms

qml-essentials

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

cova

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

deepquantum

DeepQuantum for quantum computing