Trending repositories for topic quantum-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...
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.
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.
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...
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.
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
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.
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
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.
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 🙌
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 Lightning plugin ecosystem provides fast quantum state-vector and tensor network simulators 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.
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.
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...
IEEE ICASSP 21 - Quantum Convolution Neural Networks for Speech Processing and Automatic Speech Recognition
The Lightning plugin ecosystem provides fast quantum state-vector and tensor network simulators written in C++ for use with PennyLane.
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
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.
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...
Tensor network based quantum software framework for the NISQ era
An open-source Python framework for hybrid quantum-classical machine learning.
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
IEEE ICASSP 21 - Quantum Convolution Neural Networks for Speech Processing and Automatic Speech Recognition
Curated list of awesome papers and resources in quantum machine learning
Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
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.
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.
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
Quantum-classical hybrid convolutional neural network for classical image classification
The Lightning plugin ecosystem provides fast quantum state-vector and tensor network simulators written in C++ for use with PennyLane.
piQture: A quantum machine learning library for image processing.
Curated list of awesome papers and resources in quantum machine learning
An extensive library of AI resources including books, courses, papers, guides, articles, tutorials, notebooks, AI field advancements and more.
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 🙌
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
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.
Official code for the paper "Predicting Properties of Quantum Systems with Conditional Generative Models"
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
修改谷歌提供的样例量子卷积神经网络模型，基于KDD99数据集进行训练，实现了网络攻击分类检测。
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...
Qiskit Hackathon Korea 2021 Community Choice Award Winner : Exploring Hybrid quantum-classical Neural Networks with PyTorch and Qiskit
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.