PyRank
  • Insights
  • PyPI
  • GitHub
  • Search
  • Compare
  • Advisories
  • Ecosystem
  • About

Quantum Machine Learning Python Packages

Python packages with the GitHub topic quantum-machine-learning. Sorted by relevance, with stars and monthly downloads.
PennyLaneAI
pennylane-lightning

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

761K 136 54
PennyLaneAI
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.

312K 3K 782
tensorcircuit
tensorcircuit-nightly

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

73K 75 19
NVIDIA
cuda-quantum-cu13

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

40K 1K 380
NVIDIA
cudaq

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

19K 1K 380
PennyLaneAI
pennylane-lightning-kokkos

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

19K 136 54
tensorflow
tfq-nightly

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

10K 2K 652
PennyLaneAI
pennylane-lightning-gpu

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

9K 136 54
NVIDIA
cuda-quantum-cu12

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

9K 1K 380
Classiq
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 🙌

8K 2K 875
AgnostiqHQ
covalent

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

7K 861 110
pasqal-io
pyqtorch

PyTorch-based state vector and density matrix simulator

6K 47 27
NVIDIA
cuda-quantum

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

5K 1K 380
Qulacs-Osaka
skqulacs

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

4K 25 6
tensorflow
tensorflow-quantum

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

3K 2K 652
dduyanhhoang
psipose

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

2K 3 0
PennyLaneAI
pennylane-lightning-tensor

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

2K 136 54
AgnostiqHQ
cova

Covalent Workflow Tool

2K 861 110
mit-han-lab
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.

2K 2K 249
jorgevazquezperez
quantum-image-classifier

Package to develop quantum image classifier algorithms.

2K 1 0
tencent-quantum-lab
tensorcircuit

Tensor network based quantum software framework for the NISQ era

2K 351 95
QuAIR
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.

1K 62 10
TuringQ
deepquantum

DeepQuantum for quantum computing

1K 75 17
google
qhbmlib

Quantum Hamiltonian-Based Models built on TensorFlow Quantum

1K 43 15
    • Data from PyPI, GitHub, ClickHouse, and BigQuery