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#

quantum-machine-learning

Here are 485 public repositories matching this topic...

pennylane

PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Built by researchers, for research.

  • UpdatedDec 18, 2025
  • Python

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 🙌

  • UpdatedDec 17, 2025
  • Jupyter Notebook

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.

  • UpdatedOct 28, 2025
  • Jupyter Notebook

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

  • UpdatedDec 18, 2025
  • C++
covalentqml

Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.

  • UpdatedDec 17, 2025
  • Python

Curated list of awesome papers and resources in quantum machine learning

  • UpdatedJun 11, 2024

This repository contains the source code used to produce the results presented in the paper "Continuous-variable quantum neural networks". Due to subsequent interface upgrades, these scripts will work only with Strawberry Fields version <= 0.10.0.

  • UpdatedMar 24, 2023
  • Python
qmlcourse

Курс по квантовому машинному обучению

  • UpdatedNov 24, 2025
  • TeX

Quantum-classical hybrid convolutional neural network for classical image classification

  • UpdatedMar 4, 2023
  • Python
pennylane-lightning

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

  • UpdatedDec 17, 2025
  • C++

This repository contains the source code used to produce the results presented in the paper "Machine learning method for state preparation and gate synthesis on photonic quantum computers".

  • UpdatedJul 10, 2019
  • Jupyter Notebook

IEEE ICASSP 21 - Quantum Convolution Neural Networks for Speech Processing and Automatic Speech Recognition

  • UpdatedJan 22, 2023
  • Jupyter Notebook

A curated implementation of quantum algorithms with Yao.jl

  • UpdatedAug 21, 2023
  • Julia

QuantumFlow: A Quantum Algorithms Development Toolkit

  • UpdatedJun 3, 2019
  • Python

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