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

🌊 D-Wave Neal Simulated Annealing Interface for JuMP

QUBO.jl Notebooks

⚛️ 🚀 👽 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.

QUBO Instances for benchmarking

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.

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.

Qiskit Hackathon Taiwan 2022 - Group 4 - Quantum Mapper

Implementation of Mixed Binary Optimization applied to Transaction Settlement

First place, CWRU Quantum Computing Club Hackathon, Fall 2022

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.

Training iterated protocols for distillation of GHZ states with variational quantum algorithms.

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.

Ground State Energy of BeH2 at different bond lengths using VQE