piQture: A quantum machine learning library for image processing.

Single pixel imaging with classical and quantum neutral network

This project involves simulating a quantum classifier using a variational quantum circuit for binary classification problems. It is divided into three main parts, each contributing to the total project credits.

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.

A quantum reinforcement learning framework based on PyTorch and PennyLane.

Implementations of quantum circuits used for the thesis Quantum Neural Networks with Qutrits

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)

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

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

A docker container for quantum machine learning (QML) research

Quantum architecture for predicting evolution of time series and analyze any anomalies arising in it.

Negational Symmetry of Quantum Neural Networks for Binary Pattern Classification

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