This is a simple classification model to compare the performance of Quantum and classical model

quantum framework, for high-level circuit design, noise simulation and its embedded integration with tensorflow quantum!

This repository contains my solution to the evaluation tasks on QML-HEP for ML4Sci Umbrella Organization in GSoC 2021

Multi-Party Computation transforms data handling by decentralizing trust among multiple participants. This ensures that no single entity demands absolute trust. An advantage for companies in safeguarding data privacy: once data leaves the user's computer, it remains obscured from any single external entity.

Performing some tutorials, exersises & walkthroughs related to quantum computing - Cirq

A dedicated repository for finishing the QML-HEP GSoC 2021 Tasks and Proposal. This submission is accepted as one of the 2021 projects.

Exercise Files for Tensorflow Quantum

Quantum Finance Library

My session about TensorFlow Quantum to build hybrid quantum-classical models at TensorFlow User Group Mysuru 2020

Quantum Information exam

FYS2029 Quantum Computing project work: quantum neural networks

Using Quantum Machine Learning for effective dynamic pricing models

Generate QAOA circuits with just your objective function!

A Quantum Neural Network built with Tensorflow Quantum and training on Breast Histopathology Images on Kaggle by Paul Mooney (Invasive Ductal Carcinoma)

Code for implementing and experimenting with quantum algorithms