Curated list of awesome papers and resources in quantum machine learning

Codes for efficiently implementing quantum neural network classifiers

This repository consists of documentation regarding quantum machine learning (QML), covering both beginner's guides and advanced topics.

Qiskit Hackathon Korea 2021 Community Choice Award Winner : Exploring Hybrid quantum-classical Neural Networks with PyTorch and Qiskit

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 applications in quantum systems.

Classifying, auto-encoding and reverse-engineering QUBO matrices

A docker container for quantum machine learning (QML) research

A repository for finishing my undergraduate thesis titled: Quantum Image Classifier Design with Data Re-uploading Quantum Convolution and Data Re-uploading Classifier Scheme.

A quantum reinforcement learning framework based on PyTorch and PennyLane.

Covalent demonstration of the QVR algorithm using a cryptocurrency time series use case

The quantum supply chain manager is a quantum solution for logistics problems. We use the power of quantum machine learning for product [backorder](https://www.investopedia.com/terms/b/backorder.asp) prediction and quantum optimization for finding the best route to pick those products with high demand to store them in strategic warehouses. With …

This repository contains the code to reproduce the results in the paper A Variational algorithm for Quantum Neural Networks, accepted in the International Conference on Computational Science 2020, Quantum Computing track.

Qauntum convolutional neural network in protein distance prediction.

Reimplementing the hybrid quantum-classical models from the paper "Quantum machine learning for image classification" by Arsenii Senokosov et al (https://arxiv.org/pdf/2304.09224.pdf)

Code author: Collin Farquhar; paper authors: Collin Farquhar and Jithin Jagannath

A library for the rapid prototyping of hybrid quantum-classical neural networks in speech applications.

Entanglement characterization of variational quantum circuits using a Matrix Product State simulator and qiskit.

Feed forward QNN