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 🙌

The Swiss Army Knife of Applied Quantum Technology (Experimental Tech)

A Python library to automate generating, parallelizing, and executing quantum programs.

A comprehensive benchmark suite for quantum optimization methods, featuring ten challenging problem classes with practical applications.

🧬 Tools for Quadratic Unconstrained Binary Optimization models in Julia

Quantum Annealing-based Unsupervised Segmentation Algorithm

JuMP wrapper for IBMQ Optimization Algorithms (ft QUBODrivers.jl)

OSCAR: configure and debug variational quantum algorithms efficiently

QUBO.jl Notebooks

QUBO Instances for benchmarking

🚀 QuantumAI merges Quantum Computing with Artificial Intelligence to revolutionize machine learning, cryptography, and optimization. Leveraging quantum superposition, entanglement, and hybrid AI models, this project pushes the boundaries of computational intelligence. ⚡ Next-gen AI meets quantum power! 💡

Optimal coalition formation among Low Earth Orbit (LEO) satellites via GCS-Q algorithm.

GCS-Q is a coalition structure generation algorithm for induced subgraph games

Deprecated compatibility shim for DWave.Neal in DWave.jl

QVoice: Quantum Variational Optimization with In-Constraint Energy

⚛️ 🚀 👽 A self-paced, game-based Quantum Computing learning program for students, researchers and enthusiasts. This program offers a general understanding of Quantum Computing, as well as some of its applications, such as Quantum Machine Learning and Quantum Optimization, and how to program real quantum computers.

This repository contains a data of the ongoing project work, which is a part my work as Junior researcher at Qkrishi, Gurgaon, India.

This project is inspired and to some extent based on the research paper titled "Quantum Permutation Synchronization" by Birdal et al from 2021

This project involves simulating a quantum classifier using a variational quantum circuit for binary classification problems. It is divided into three main parts, each contributing to the total project credits.

QAOA Portfolio Optimization Problem as part of the YQuantum Hackathon