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.
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Updated
Dec 14, 2024 - Python
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.
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 🙌
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 computers.
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
Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
Curated list of awesome papers and resources in quantum machine learning
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 work only with Strawberry Fields version <= 0.10.0.
An extensive library of AI resources including books, courses, papers, guides, articles, tutorials, notebooks, AI field advancements and more.
Tensor network based quantum software framework for the NISQ era
Курс по квантовому машинному обучению
This is the repository for https://quantumalgorithms.org
Tensor-Based Quantum Machine Learning
This repository contains the source code used to produce the results presented in the paper "Machine learning method for state preparation and gate synthesis on photonic quantum computers".
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.
A curated implementation of quantum algorithms with Yao.jl
QuantumFlow: A Quantum Algorithms Development Toolkit
IEEE ICASSP 21 - Quantum Convolution Neural Networks for Speech Processing and Automatic Speech Recognition
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