MonitSharma/Learn-Quantum-Machine-Learning

Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.

An open-source library built on Qiskit for quantum machine learning tasks at scale on quantum hardware and classical simulators

This repository will contain the major papers, books and blog posts on QML

This project is one of the Qiskit mentorship programs to replicate two papers arXiv:1905.10876 and arXiv:2003.09887 using the Qiskit environment. We evaluate the parameterized quantum circuit, reproduce the expressibility and entangling capability of the 19 circuits, and the classification accuracy.

This repo contains CUDA-Q Academic materials, including self-paced Jupyter notebook modules for building and optimizing hybrid quantum-classical algorithms using CUDA-Q.

MindQuantum is a quantum machine learning library that can be used to build and train different quantum neural networks.

List of some personal QML Projects

An open-source Python framework for hybrid quantum-classical machine learning.

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