bharathijeeva

Cirq

A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.

GNNs-Recipe

🟠 A study guide to learn about Graph Neural Networks (GNNs)

EchoTorch

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

FundamentalsNumericalComputation.jl

Core functions for the Julia (2nd) edition of the text Fundamentals of Numerical Computation, by Driscoll and Braun.

heat-pinn

A Physics-Informed Neural Network to solve 2D steady-state heat equations.

qcc

Source code for the book "Quantum Computing for Programmers", Cambridge University Press

qml-vqa-library

A curated list of recent textbooks, reviews, perspectives, and research papers related to quantum machine learning, variational quantum algorithms, tensor networks, and classical machine learning applications in quantum systems.

Collection

pygl

PyGL: statistical field theory in Python

VQE

VQE Dissertation Project

learning-quantum-process

Using very few experiments to efficiently learn an approximate model of an n-qubit quantum process.

quantum_reinforcement_learning

Study of entanglement and Shannon entropies in Quantum Reinforcement Learning (and its classical counterpart) in a discrete environment.

Lectures

A collection of lectures and tutorials

optimization

Algorithms for optimization tasks (operations research)

QuantumNeuralNet

Solving the Travelling Salesman Problem, with applying the hard constraints using the QAutoencoder

QuantumNetworkSimulations

A series of simulation codes used to emulate quantum-like networks in the simulation of emergent adaptive behavior, such as network synchronization, and relate the nature of the coupled harmonic oscillators with non-local behavior and chimera states in systems of quantum particles. Coding Used is based on mathematical modelling of transport in quantum many-body systems and networks made tractable using the quantum newtons cradle. A full showcase of this project is discussed in the following videos:https://www.youtube.com/watch?time_continue=115&v=WX3Ds_xCOaE

Neural-Network-Quantum-State

QuGlassyIsing

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

unsupervised-machine-learning-of-topological-phase-transitions-from-experimental-data

vqe

Variational Quantum Eigensolver demonstration (for QOSF 2020 mentorship program)

QML_chaos

Classification of quantum chaotic/integrable systems with machine learning

QuantumChaos

Quantum Chaos simulations

QuantChaos

Repository with files and programs written to understand Quantum Chaos and Localization

getbibtex

A script for getting a BibTeX entry from a URL, DOI, or arXiv ID

nisq-qprog-tutorial

Some tests with QAOA, VQE, annealers and other procedures for NISQ quantum computers

QAOA_vs_ED

Here we will compare one well-known (ED) and another new method (QAOA) for quantum simulations of many-body physics.

QPT_with_Diffusion_Maps

Quantum Phase Transition Discovery with Diffusion Maps

toulouse-2022

Python notebooks for the 2022 Toulouse Summer School MLQMB

PCA-Ising

Studying the Ising model phase transition using PCA.

qaoa-examples

Reproducing results in QAOA (Quantum Approximate Optimization Algorithm).