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)

🧬 Tools for Quadratic Unconstrained Binary Optimization models in Julia

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

OSCAR: configure and debug variational quantum algorithms efficiently

QUBO.jl Notebooks

🌊 D-Wave Neal Simulated Annealing Interface for JuMP

QUBO Instances for benchmarking

⚛️ 🚀 👽 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.

QVoice: Quantum Variational Optimization with In-Constraint Energy

An advanced exploration of Quantum Fourier Transform (QFT) using Quantum Machine Learning (QML). This project delves into the optimization of variational quantum circuits, leveraging machine learning techniques to evaluate and visualize the transformation capabilities of QFT in quantum computing.

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

🚀 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! 💡

Implementation of Mixed Binary Optimization applied to Transaction Settlement

First place, CWRU Quantum Computing Club Hackathon, Fall 2022

Qiskit Hackathon Taiwan 2022 - Group 4 - Quantum Mapper

7 days journey of learning more about Qiskit Runtime, QML and Quantum Chemistry application of Quantum Computer through 4 exercises and a final challenge by IBM Quantum in Fall 2022.

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.

This project aims to solve qubit placement problems in nearest neighbour compliance quantum circuits. We approached the problem using integer linear programming, and solve for the exact global optimal solution.

This repository contains the Python implementation for 'Explainable Air Quality Management.' It features federated learning with adaptive model aggregation, quantum-optimized hyperparameter tuning, SHAP-based explainability, and anomaly detection using PrefixSpan. The system enhances AQI prediction and interpretability across IoT sensor nodes.