Quantum Annealing for distribution unfolding in experimental High-Energy Physics

Parallel Quantum Annealing

Implementation of a research made by Pastorello and Blanzieri.

Python implementation of Bayesian Network Structure Learning using Quantum Annealing https://doi.org/10.1140/epjst/e2015-02349-9

Graphland with quantum computer

⚛ Quantum Computing, for Humans.

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.

Quantum computer implementation of an 8-bit cyclic redundancy check (CRC8) algorithm

Solvers QUBO optimization

READ ONLY CODEBERG.ORG MIRROR - A GUI to communicate with quantum computers from DWAVE

Quantum Optimization for solving scheduling problems.

Final project for CMPUT 604 Quantum Computing

Learning-Ocean

QUBO formulation for nowhere-zero k-flows on graphs

A modular and extensible quantum machine learning framework supporting customizable models, encoders, kernels, and quantum providers for research and prototyping.

Bridging Classical Software Engineering and Quantum Advantage

Quantum SDK Prototype