bharathijeeva

Quantum-1

Awesome-Quant-Machine-Learning-Trading

Quant/Algorithm trading resources with an emphasis on Machine Learning

crypto_time_series_quantum

exact_diagonalization_u1_dilute

exactly_solvable_models

fruitDetectionTFLite

CACSC19 Capstone Project-1

harmonic-oscillator-pinn

Code accompanying my blog post: So, what is a physics-informed neural network?

Lectures

A collection of lectures and tutorials

ML-for-quantum-and-classical-systems

Neural-Network-Quantum-State

neural-tangents

Fast and Easy Infinite Neural Networks in Python

oqs-jupyterbook

Course on Open Quantum Systems with Qiskit

OQuPy

A Python 3 package to efficiently compute non-Markovian open quantum systems.

Projects

A place to store code for works in progress or works that are not meant to be polished versions

PSST

A Tutorial for Parallelised Scalable Simulations in TensorFlow

qfnn

QPanda-2

QPanda 2 is an open source quantum computing framework developed by OriginQC that can be used to build, run, and optimize quantum algorithms.

quant-geom-machine-learning

quantum-algorithms-tutorials

Tutorials for Quantum Algorithms with Qiskit implementations.

QuantumInformation.jl

A Julia package for numerical computation in quantum information theory

QuantumKatas

Tutorials and programming exercises for learning Q# and quantum computing

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

RC_quantum

SoliDRIL

Jupyter notebooks for Solid State Physics courses at EPFL

SpikingNeuromorphicChipLearnsEntangledQuantumStates

Data and code for the paper "Spiking neuromorphic chip learns entangled quantum states" by S. Czischek et al.

SummerSchool2021_MLinQuantum

The repository contains Jupyter notebooks for hands-on tutorials organized within the Summer School: Machine Learning for Quantum Physics and Chemistry (24th August - 3rd September 2021, Warsaw).

toulouse-2022

Python notebooks for the 2022 Toulouse Summer School MLQMB

tutorial

A tutorial for widgets

v-repr-dmet-data-Hubbard-DMRG

Source / output files of DMRG benchmark on Hubbard model for paper: On the v-representability of density matrix embedding theory.

VIGN

Variational Integrator Graph Networks for Learning Energy Conserving Dynamical Systems