Quantum Annealing for distribution unfolding in experimental High-Energy Physics
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Updated
Aug 11, 2026 - Python
Quantum Annealing for distribution unfolding in experimental High-Energy Physics
Examples of using DWave quantum annealing system
Python implementation of Bayesian Network Structure Learning using Quantum Annealing https://doi.org/10.1140/epjst/e2015-02349-9
Implementation of a research made by Pastorello and Blanzieri.
Parallel Quantum Annealing
Implementations of a few programs which can run on simulators as well as actual quantum hardware written using libraries provided by major quantum software stack providers
⚛ Quantum Computing, for Humans.
This repository contains the code for solving the EV charging station placement problem using simulated annealing and genetic algorithms.
A toolkit for experimenting with novel heuristic algorithms to minor embed QUBO graphs for quantum annealing
Submission for the MIT iQuHACK 2025 in-person D-WAVE challenge by Shay Manor and Millan Kumar. Uses D-WAVE's CQM (Constrained Quadratic Model) quantum annealer to build the perfect finals schedule.
Graph decomposition algorithms for MaxClique and Minimum Vertex Cover problems
QuantumHoneycombPSP is a Python-based project designed to model protein structure prediction (PSP) using D-Wave quantum annealing. Uses novel protein lattices and energy functions.
Projects done with the help of D-Wave's Ocean
Quantum computer implementation of an 8-bit cyclic redundancy check (CRC8) algorithm
Quantum and hybrid optimization of the airline tail assignment problem using QUBO formulations and the D-Wave Ocean SDK.
Solving real-world problems with NISQ-era quantum computing hardware.
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