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quantum-comparator-circuit

This project is a quantum comparator circuit using the SDK of IBM what is qiskit in the version 0.6.1, the version of python is the 3.6.5.

quantum-computing

quantum-machine-learning

Notebooks from University of Toronto's Quantum ML MOOC

quantum-neural-networks

This repository contains the source code used to produce the results presented in the paper "Continuous-variable quantum neural networks".

quantum-svm

The quantum circuit version of support vector machine to recognize handwritten 6 and 9

quantum-svm-1

Use quantum support vector machine to classify handwritten digits 6 and 9 with QuTip

quantum-teleportation

quantum_optimization

quantum_tsp_tutorials

This repository contains code with tutorials of how to approach optimization problems using quantum computing.

qutip

QuTiP: Quantum Toolbox in Python

qutip-notebooks

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

qutip-simulation-scripts

qutipdemo

r-fcn

R-FCN: Object Detection via Region-based Fully Convolutional Networks

radial-basis-function

RBF implementation for MNIST dataset in Python.

random_maxcut

The max-cut problem on a random graph with 7 nodes is solved using QAOA, ED, Monte-Carlo, and simulated annealing.

rbf-network-digits

Python Implementation of a Radial Basis Function Neural Network for Handwritten Digit Classification

resnetcam-keras

Keras implementation of a ResNet-CAM model

rnn-speech-denoising

Recurrent neural network training for noise reduction in robust automatic speech recognition

robot

robust-subspace-segmentation-by-low-rank-representation

solving-combinatorial-optimisation-problems-using-quantum-algorithms

Application of Variational Quantum Eigensolver (VQE) and Quantum Approximate Optimisation Algorithm (QAOA) to the Travelling Salesman Problem (TSP) and the Quadratic Assignment Problem (QAP) using Qiskit on IBM's quantum devices.

tensorflow-mnist-cnn

MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.

the-gan-zoo

A list of all named GANs!

tree-tensor-networks-in-machine-learning

two-layer-cnn-on-mnist