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pygra

Python library to compute different properties of tight binding models

qiskit-iqx-tutorials

A collection of Jupyter notebooks showing how to use Qiskit that is synced with the IBM Q Experience

qml

Introductions to key concepts in quantum machine learning, as well as tutorials and implementations from cutting-edge QML research.

qmlt

The Quantum Machine Learning Toolbox (QMLT) is a Strawberry Fields application that simplifies the optimization of variational quantum circuits (also known as parametrized quantum circuits).

quantitativeprimer

An Interview Primer for Quantitative Finance

quantum

Microsoft Quantum Development Kit Samples

quantum-1

Hybrid Quantum-Classical Machine Learning in TensorFlow

quantum-benchmarks

benchmarking quantum circuit emulators for your daily research usage

quantum-generative-adversarial-networks-for-stock-price-prediction

This project uses the Pennylane library to create quantum variational circuits capable of predicting a stock's price.

quantum-honeycomp

Package to perform tight binding calculation in tight binding models, with a friendly user interface

quantum-neural-networks

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

quantumflow

QuantumFlow: A Quantum Algorithms Development Toolkit

quantumperceptron

implementation of a 2D quantum perceptron

qucumber

Neural Network Many-Body Wavefunction Reconstruction

qwgan

The project codes associated with quantum Wasserstein GAN

rigetti_training_material

Slide decks and Jupyter notebooks for training on Rigetti's quantum software stack at the Creative Destruction Lab 2018.

rp-qst

Radical Pair Quantum State Tomography

schnetpack

SchNetPack - Deep Neural Networks for Atomistic Systems

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

strawberryfields

Strawberry Fields is a full-stack Python library for designing, simulating, and optimizing continuous variable (CV) quantum optical circuits.

string_data17

swordfish

A Python tool to study the information yield of counting experiments.

tbhcnn

Prototype code of the tight-binding hamiltonian construction neural network model. Check the example_basic_method.py to construct a TB model for the InSe nanoribbon; Check the example_variation_one.py to optimize a given Wannier TB model for 2-D black phosphorus.

tenpy

Tensor Network Python (TeNPy)

tensornetwork

A library for easy and efficient manipulation of tensor networks.

thewalrus

A library for the calculation of hafnians, Hermite polynomials and Gaussian boson sampling.

topocm_content

Course on topology in condensed matter

topology

Calculate bandstructures, DOS, spectral function, chern number and Z2 invariant from a given tight-binding Hamiltonian

tqc

Source codes for implementation of the Kitaev Honeycomb model!

tutorials