#Quantum-machine-learning
Showing 14 of 14 repositories tagged #quantum-machine-learning, ranked by stars
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.
An open-source Python framework for hybrid quantum-classical machine learning.
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.
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
Curated list of awesome papers and resources in quantum machine learning
Tensor network based quantum software framework for the NISQ era
scikit-learn interface for quantum algorithms
This repository consists of documentation regarding quantum machine learning (QML), covering both beginner's guides and advanced topics.
Learn Quantum Machine Learning
Next-gen AI-native tensor-network-based quantum software framework
金融研报分析小助手
Quantum Machine Learning (QML) Playground is an interactive web application designed to visualize the inner workings of quantum machine learning models in an intuitive and educational manner.
The Swiss Army Knife of Applied Quantum Technology (Experimental Tech)
Docker image for quantum laboratory