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quantum_computation

Code for implementing and experimenting with quantum algorithms

quantum_machine_learning_an_applied_approach

quantum_machine_learning_with_python

quantum_walks

quple.github.io

A framework for quantum machine learning in high energy physics

qusic

qxcontexts.jl

Julia package for performing tensor contractions on distributed machines

qxtns.jl

Package with data structures and functions for manipulating tensor networks

qxtools.jl

Julia package for quantum circuit simulation using tensor networks

qxzoo.jl

Julia package for quantum circuit generation

roadmap-to-qml

This repository will contain the major papers, books and blog posts on QML

scip

SCIP - Solving Constraint Integer Programs

selflearningdistributions

Approximating probability distributions using a QFT sampler. Project for QHack.

softserve_qlstm

We implement a quantum-classical hybrid QLSTM model by incorporating quantum variational layers into the classical LSTM in order to improve the efficiency and trainability of LSTM for better stock price prediction.

staq

A full-stack quantum processing toolkit

stock-picking

Creating Variational Quantum Algorithm from scratch to find optimal portfolios

sudoku-by-norvig

A slightly modified version of Peter Norvig's sudoku solver

tensor-networks

Tensor Network Implementations

tensornetwork

A library for easy and efficient manipulation of tensor networks.

tensornetworks

Tensor network codes in julia by groups at AEI (GQFI and QGUT)

tensors.jl

Efficient computations with symmetric and non-symmetric tensors with support for automatic differentiation.

tequila

Rapid development of novel quantum algorithms

tequila-tutorials

Tutorial collection for tequila

tsp-optimization-using-qaoa

tutorial-odsc-qml

udemy-machine-learning-examples

LazyProgrammer Udemy Course Content

udemyqiskit

unitary_quantum_perceptron

vqar

vqf

Implementation of Variational Quantum Factoring algorithm.