[DEMO] Qubit-Efficient Encoding Techniques for Solving QUBO Problems #1345
Description
General information
Name
Supreeth Mysore Venkatesh (supreethmv).
Affiliation (optional)
Technical University of Kaiserslautern, German Researcher Center for Artificial Intelligence
Twitter (optional)
supreethmv
Image (optional)
https://github.com/supreethmv/Pennylane-ImageSegmentation/blob/main/_repo_data/vqa-segmentation.png
Demo information
Title
Qubit-Efficient Encoding Techniques for Solving QUBO Problems
Abstract
This demo explores qubit-efficient alternatives to QAOA that are not only suitable for today's NISQ (Noisy Intermediate-Scale Quantum) devices, but also generalizable across combinatorial optimization problems. We specifically demonstrate these methods in the context of unsupervised image segmentation.
Relevant links
Pennylane Implementation: https://github.com/supreethmv/Pennylane-ImageSegmentation
Paper: https://doi.org/10.1109/QCE60285.2024.00059