quantum-machine-learning

PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.

A PyTorch-based framework for Quantum Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.

Pythonic tool for running machine-learning/high performance/quantum-computing workflows in heterogenous environments.

Introductions to key concepts in quantum machine learning, as well as tutorials and implementations from cutting-edge QML 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.

Quantum Machine Learning Community Course

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".

Tensor-Based Quantum Machine Learning

QuantumFlow: A Quantum Algorithms Development Toolkit

QHack—The one-of-a-kind quantum computing hackathon

A curated implementation of quantum algorithms with Yao.jl

IEEE ICASSP 21 - Quantum Convolution Neural Networks for Speech Processing and Automatic Speech Recognition

This repository contains the best resources for learning practical quantum computing. This repository will be updated frequently.

Codes for efficiently implementing quantum neural network classifiers

A differentiable bridge between phase space and Fock space

QuantumFlow: A Quantum Algorithms Development Toolkit

WARNING - This package is no longer supported. EntropicaQAOA is a modular package for the quantum approximate optimisation algorithm (QAOA) built on top of Rigetti’s Forest SDK.