This repository contains my bachelor Thesis on quantum computing programming languages
-
Updated
Feb 16, 2021 - Mathematica
This repository contains my bachelor Thesis on quantum computing programming languages
Quantum Computing with Qiskit, Cirq and Q#.
Project inspired by a book titled, "Artificial Intelligence," by Copeland. One of the World's first Quantum Neural Networks ever invented.
Bachleor of Science thesis: Using VQE to study LiH and BeH2 molecules.
Performing some tutorials, exersises & walkthroughs related to quantum computing - Cirq
A course that includes topics such as an introduction to quantum computing and its applications (e.g., quantum teleportation), quantum entanglement and superposition (shown on Bernstein-Vazirani and Simon's algorithms), Grover's algorithm, the quantum Fourier transform and practical examples of its use (quantum phase estimation, Shor's algorithm).
An experiment of mine for morse code symbols teleportation.
A quantum anomaly detection approach using the Cirq and Pennylane libraries, designed to detect adversarial attacks on quantum circuits.
Workspace for my apps and trial experiments on quantum computing. M currently in the learning stage with quantum and will organize the repo better in future
A classical-quantum or hybrid neural network with adversarial defense protection
Quantum image classification using quantum circuits and variational classifiers on a MNIST dataset.
This repository contains implementations of toy quantum machine learning (QML) models to solve tasks in high energy physics (HEP.)
Demonstrates the implementation of various logical gates using quantum circuits. The code utilizes three popular quantum computing libraries: Cirq, PyQuil, and ProjectQ.
Official repository hosting the supporting code for the Chapter "Quantum Computing for Deep Learning: How far can we go with off-the-shelf components?"
The repository contains Jupyter notebooks with detailed description of basic quantum protocols and algorithms, the math, circuits and quantum programs using Python.
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.
Add a description, image, and links to the cirq topic page so that developers can more easily learn about it.
To associate your repository with the cirq topic, visit your repo's landing page and select "manage topics."