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
Jun 5, 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.
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 computers.
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
QHack—The one-of-a-kind quantum computing hackathon
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.
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
Curated list of awesome papers and resources in 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 🙌
Tensor network based quantum software framework for the NISQ era
This is the repository for https://quantumalgorithms.org
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".
The PennyLane-Lightning plugin provides a fast state-vector simulator written in C++ for use with PennyLane
Курс по квантовому машинному обучению
An extensive library of AI resources including books, courses, papers, guides, articles, tutorials, notebooks, AI field advancements and more.
Qiskit Hackathon Korea 2021 Community Choice Award Winner : Exploring Hybrid quantum-classical Neural Networks with PyTorch and Qiskit
Code for implementing and experimenting with quantum algorithms
Repository of code notebooks for tutorials at IEEE Quantum Week (QCE20) https://qce.quantum.ieee.org/tutorials/
QuantumFlow: A Quantum Algorithms Development Toolkit
Variational Quantum Circuits for Deep Reinforcement Learning since 2019. Xanadu Quantum Software Competition 1st Prize 2019.
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