Build hybrid quantum-classical algorithms with qBraid

QED-C: The Quantum Economic Development Consortium provides these computer programs and software for use in the fields of quantum science and engineering.

Unsupervised anomaly detection in the latent space of high energy physics events with quantum machine learning.

This repository is for the QF's pilot classical-to-quantum data encoding project for genomics data.

A modern LaTeX Beamer theme

Regression Graph Neural Network (regGNN) for cognitive score prediction.

Python wrapper around the Concorde TSP solver

Attention based model for learning to solve different routing problems

The Classiq Library is the largest collection of quantum algorithms and applications. It is the best way to explore quantum computing software. We welcome community contributions to our Library 🙌

This repository contains the source code used to produce the results presented in the paper "Continuous-variable quantum neural networks". Due to subsequent interface upgrades, these scripts will …

A generative AI extension for JupyterLab

Master programming by recreating your favorite technologies from scratch.

Solving PDEs with quantum algorithms: A tutorial at IEEE QCE 2023

dwave-gate is a software package for constructing, modifying and running quantum circuits on the provided state-vector simulator.

Classical algorithms for solving binary quadratic models

Code and resources on scalable and efficient Graph Neural Networks

A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding

A repository of pretty cool datasets that I collected for network science and machine learning research.

Graph Neural Network Tutorial

How Powerful are Graph Neural Networks?