This is a simple classification model to compare the performance of Quantum and classical model
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Updated
Nov 15, 2020 - Python
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!
Exercise Files for 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.
Quantum-Classic Machine Learning Library for Finance
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
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