Trending repositories for topic quantum-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...
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.
Tensor network based quantum software framework for the NISQ era
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
Tensor network based quantum software framework for the NISQ era
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.
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
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...
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
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
Curated list of awesome papers and resources in quantum machine learning
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
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.
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...
Tensor network based quantum software framework for the NISQ era
Curated list of awesome papers and resources in quantum machine learning
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 🙌
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...
Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
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
The PennyLane-Lightning plugin provides a fast state-vector simulator written in C++ for use with PennyLane
Curated list of awesome papers and resources in quantum machine learning
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.
Qiskit Hackathon Korea 2021 Community Choice Award Winner : Exploring Hybrid quantum-classical Neural Networks with PyTorch and Qiskit
Codes for efficiently implementing quantum neural network classifiers
The PennyLane-Cirq plugin integrates Google's Cirq software library with with PennyLane's quantum machine learning capabilities.
This repository consists of documentation regarding quantum machine learning (QML), covering both beginner's guides and advanced topics.
Quantum-classical hybrid convolutional neural network for classical image classification
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 🙌
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...
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
piQture: A quantum machine learning library for image processing.
The PennyLane-Lightning plugin provides a fast state-vector simulator written in C++ for use with PennyLane
Qiskit Hackathon Korea 2021 Community Choice Award Winner : Exploring Hybrid quantum-classical Neural Networks with PyTorch and Qiskit
Tensor network based quantum software framework for the NISQ era
Codes for efficiently implementing quantum neural network classifiers
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.
The PennyLane-Cirq plugin integrates Google's Cirq software library with with PennyLane's quantum machine learning capabilities.
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.
This repository consists of documentation regarding quantum machine learning (QML), covering both beginner's guides and advanced topics.
Quantum-classical hybrid convolutional neural network for classical image classification
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.
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
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...
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.
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
piQture: A quantum machine learning library for image processing.
The PennyLane-Lightning plugin provides a fast state-vector simulator written in C++ for use with PennyLane
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...
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 wor...
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 🙌
An extensive library of AI resources including books, courses, papers, guides, articles, tutorials, notebooks, AI field advancements and more.
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
The PennyLane-Lightning plugin provides a fast state-vector simulator written in C++ for use with PennyLane
Official code for the paper "Predicting Properties of Quantum Systems with Conditional Generative Models"
Qiskit Hackathon Korea 2021 Community Choice Award Winner : Exploring Hybrid quantum-classical Neural Networks with PyTorch and Qiskit
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
Codes for efficiently implementing quantum neural network classifiers
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.
Tensor network based quantum software framework for the NISQ era
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.