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quglassyising

Repository for `Glassy dynamics using Quantum Computers` Team in Qiskit Hackathon Europe

qugraphy

Python functions to ease and visualise the calculations of Quantum computation and information

qunatum-tranfer-learning-for-diabetic-rethinpathy

India is on track to become the world’s diabetes capital thus demanding accurate diagnosis of Diabetic retinopathy from optical coherence tomography (OCT) retinal images. Accurate and faster diagnosis is difficult as it depends on quality of image, operator handling and also the growing number of patients. In this paper we propose the use of quantum transfer learning model to accomplish diagnosis of Diabetic Retinopathy. Quantum Transfer Learning (QTL), is a hybrid combination of classical transfer learning and quantum computing. Unlike classical computers, quantum computers provide faster computation and better accuracy. The concept of QTL is mainly used where the dataset size is limited. The QTL model, diagnostically significant image features are extracted with Resnet18 Convolutional Neural NEtwork (CNN) model, which is reduced to 4-bit feature vector to be encoded as qubit and is finally classified by utilizing Variational Quantum Circuit (VQC). The proposed model gave a better accuracy than existing state of the art methods in terms of high accuracy despite with a smaller set of images in the training phase.

qusing

Teaching Qubits to Sing

quspin_example

qutau_triplecoincidences

Script to generate triple coincidence g2 correlation function for single photon source

qutip

QuTiP: Quantum Toolbox in Python

qutip-book

qutip-lectures

Lectures on QuTiP: slides and ipython notebooks

qutip-notebooks

A collection of IPython notebooks using QuTiP: examples, tutorials, development test, etc.

qutip-qip

The QuTiP quantum information processing package

qutip-tensorflow

TensorFlow linear-algebra backend for QuTiP

qutip_pdf

qutranpy

User interface to perform quantum transport calculations with non equilibrium Green's functions

qwgc

Quantum Walk Graph Classifier

random-number-generation-using-boson-sampling---orca-computing

Womanium Quantum Hackathon 2022

raspberry-pi-sensor-project

indoor network sesnor project

rb-cqed

Modelling simple atoms and 87Rb in cavity-QED.

readptu

A Python library to read PTU files from PicoQuant

real-time-person-reid-tracking

A stronger baseline for DeepSort in MOT16 evaluation

recognize-painted-digit

This is an image detection project based on digit recognition using convolution neural network and MNIST dataset.

recovermeep

Recover some results from unfinished Meep simulations

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-applied-to-metamaterial-design

Using deep reinforcement learning to design a broadband acoustic cloak. Created under the supervision of PhD. Feruza Amirkulova and PhD Peter Gerstoft. With the help of: Linwei Zhou, Peter Lai, and Amaris De La Rosa.

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

relative_predictive_coding

Project page for paper Self-supervised Representation Learning with Relative Predictive Coding

renomq

reproduced-papers

A collection of IPython notebooks with reproduced numerical results of some interesting papers.

reverse-oldification

Using Machine Learning to rejuvenate black and white images ! ~~

ring-oscillator-ro-puf-