Statistics for topic quantum-machine-learning
RepositoryStats tracks 642,274 Github repositories, of these 48 are tagged with the quantum-machine-learning topic. The most common primary language for repositories using this topic is Python (25).
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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
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...
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...
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.
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...
piQture: A quantum machine learning library for image processing.
piQture: A quantum machine learning library for image processing.
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
Tensor network based quantum software framework for the NISQ era
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.
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...
An open-source Python framework for hybrid quantum-classical machine learning.
Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
Resources for learning Quantum Computing and Quantum Machine Learning
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
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...
piQture: A quantum machine learning library for image processing.
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...
An open-source Python framework for hybrid quantum-classical machine learning.
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
Quantum-classical hybrid convolutional neural network for classical image classification
Resources for learning Quantum Computing and Quantum Machine Learning