Trending repositories for topic quantum-machine-learning
The Classiq Library is the largest collection of quantum algorithms, 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.
Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
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 extensive library of AI resources including books, courses, papers, guides, articles, tutorials, notebooks, AI field advancements and more.
The Classiq Library is the largest collection of quantum algorithms, 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
Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
An extensive library of AI resources including books, courses, papers, guides, articles, tutorials, notebooks, AI field advancements and more.
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...
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, applications. It is the best way to explore quantum computing software. We welcome community contributions to our Library 🙌
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
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.
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
The PennyLane-Lightning plugin provides a fast state-vector simulator written in C++ for use with PennyLane
An extensive library of AI resources including books, courses, papers, guides, articles, tutorials, notebooks, AI field advancements and more.
The Classiq Library is the largest collection of quantum algorithms, 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
The PennyLane-Lightning plugin provides a fast state-vector simulator written in C++ for use with PennyLane
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
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...
Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
An extensive library of AI resources including books, courses, papers, guides, articles, tutorials, notebooks, AI field advancements and more.
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, 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.
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.
Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
An extensive library of AI resources including books, courses, papers, guides, articles, tutorials, notebooks, AI field advancements and more.
Curated list of awesome papers and resources in quantum machine learning
This repository consists of documentation regarding quantum machine learning (QML), covering both beginner's guides and advanced topics.
Tensor network based quantum software framework for the NISQ era
Learn Quantum Machine Learning using pennylane framework
Variational Quantum Circuits for Deep Reinforcement Learning since 2019. Xanadu Quantum Software Competition 1st Prize 2019.
Code for implementing and experimenting with quantum algorithms
Quantum-classical hybrid convolutional neural network for classical image classification
The PennyLane-Lightning plugin provides a fast state-vector simulator written in C++ for use with PennyLane
Codes for efficiently implementing quantum neural network classifiers
The Classiq Library is the largest collection of quantum algorithms, 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
This repository consists of documentation regarding quantum machine learning (QML), covering both beginner's guides and advanced topics.
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
An extensive library of AI resources including books, courses, papers, guides, articles, tutorials, notebooks, AI field advancements and more.
Learn Quantum Machine Learning using pennylane framework
Variational Quantum Circuits for Deep Reinforcement Learning since 2019. Xanadu Quantum Software Competition 1st Prize 2019.
Code for implementing and experimenting with quantum algorithms
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
The PennyLane-Lightning plugin provides a fast state-vector simulator written in C++ for use with PennyLane
Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
Codes for efficiently implementing quantum neural network classifiers
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.
Curated list of awesome papers and resources in quantum machine learning
Tensor network based quantum software framework for the NISQ era
An extensive library of AI resources including books, courses, papers, guides, articles, tutorials, notebooks, AI field advancements and more.
The Classiq Library is the largest collection of quantum algorithms, applications. It is the best way to explore quantum computing software. We welcome community contributions to our Library 🙌
This repository consists of documentation regarding quantum machine learning (QML), covering both beginner's guides and advanced topics.
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...
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 extensive library of AI resources including books, courses, papers, guides, articles, tutorials, notebooks, AI field advancements and more.
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
The Classiq Library is the largest collection of quantum algorithms, 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.
Tensor network based quantum software framework for the NISQ era
Curated list of awesome papers and resources in quantum machine learning
Quantum-classical hybrid convolutional neural network for classical image classification
The PennyLane-Lightning plugin provides a fast state-vector simulator written in C++ for use with PennyLane
Learn Quantum Machine Learning using pennylane framework
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
Learn Quantum Machine Learning using pennylane framework
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...
The PennyLane-Lightning plugin provides a fast state-vector simulator written in C++ for use with PennyLane
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
Tensor network based quantum software framework for the NISQ era
Codes for efficiently implementing quantum neural network classifiers
Qiskit Hackathon Korea 2021 Community Choice Award Winner : Exploring Hybrid quantum-classical Neural Networks with PyTorch and Qiskit
Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
A curated list of recent textbooks, reviews, perspectives, and research papers related to quantum machine learning, variational quantum algorithms, tensor networks, and classical machine learning appl...
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.
Variational Quantum Circuits for Deep Reinforcement Learning since 2019. Xanadu Quantum Software Competition 1st Prize 2019.