quantum-machine-learning

PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.

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.

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

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-classical hybrid convolutional neural network for classical image classification

Tensor-Based Quantum Machine Learning

Quantum Oracle Sketching: enable access to the classical world in quantum superposition for large-scale machine learning.

scikit-learn interface for quantum algorithms

A differentiable bridge between phase space and Fock space

QuantumFlow: A Quantum Algorithms Development Toolkit

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

Digital-analog quantum programming interface

Next-gen AI-native tensor-network-based quantum software framework

Variational Quantum Circuits for Deep Reinforcement Learning since 2019. Xanadu Quantum Software Competition 1st Prize 2019.

QuantumFlow: A Quantum Algorithms Development Toolkit

The PennyLane-Cirq plugin integrates Google's Cirq software library with with PennyLane's quantum machine learning capabilities.

piQture: A quantum machine learning library for image processing.

Classifying, auto-encoding and reverse-engineering QUBO matrices