Statistics for topic quantum-machine-learning
RepositoryStats tracks 595,856 Github repositories, of these 45 are tagged with the quantum-machine-learning topic. The most common primary language for repositories using this topic is Python (23).
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PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
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 🙌
Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
This repository consists of documentation regarding quantum machine learning (QML), covering both beginner's guides and advanced topics.
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
This repository consists of documentation regarding quantum machine learning (QML), covering both beginner's guides and advanced topics.
Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
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 🙌
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
An open-source Python framework for hybrid quantum-classical machine learning.
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
This repository consists of documentation regarding quantum machine learning (QML), covering both beginner's guides and advanced topics.
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
An open-source Python framework for hybrid quantum-classical machine learning.
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
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 🙌
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
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 computer...
Quantum-classical hybrid convolutional neural network for classical image classification
piQture: A quantum machine learning library for image processing.
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
This repository consists of documentation regarding quantum machine learning (QML), covering both beginner's guides and advanced topics.
QuAIRKit is a Python research framework for quantum computing, quantum information, and quantum machine learning algorithm development. It focuses on flexible design, real-time simulation and rapid ve...
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 🙌
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
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 computer...
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
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 🙌
Quantum-classical hybrid convolutional neural network for classical image classification
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
The Lightning plugin ecosystem provides fast quantum state-vector and tensor network simulators written in C++ for use with PennyLane.