Code for implementing and experimenting with quantum algorithms
A Quantum Neural Network built with Tensorflow Quantum and training on Breast Histopathology Images on Kaggle by Paul Mooney (Invasive Ductal Carcinoma)
Using Quantum Machine Learning for effective dynamic pricing models
My session about TensorFlow Quantum to build hybrid quantum-classical models at TensorFlow User Group Mysuru 2020
Generate QAOA circuits with just your objective function!
A dedicated repository for finishing the QML-HEP GSoC 2021 Tasks and Proposal. This submission is accepted as one of the 2021 projects.
FYS2029 Quantum Computing project work: quantum neural networks
This repository contains my solution to the evaluation tasks on QML-HEP for ML4Sci Umbrella Organization in GSoC 2021
This is a simple classification model to compare the performance of Quantum and classical model
Quantum Information exam
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.
Exercise Files for Tensorflow Quantum
Performing some tutorials, exersises & walkthroughs related to quantum computing - Cirq
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