From Maximum Cut to Maximum Independent Set

Fuente: arXiv
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Auteurs principaux: Wu, Chuixiong, Wang, Jianan, Zuo, Fen
Format: Preprint
Publié: 2024
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author Wu, Chuixiong
Wang, Jianan
Zuo, Fen
author_facet Wu, Chuixiong
Wang, Jianan
Zuo, Fen
contents The Maximum Cut (Max-Cut) problem could be naturally expressed either in a Quadratic Unconstrained Binary Optimization (QUBO) formulation, or as an Ising model. It has long been known that the Maximum Independent Set (MIS) problem could also be related to a specific Ising model. Therefore, it would be natural to attack MIS with various Max-Cut/Ising solvers. It turns out that this strategy greatly improves the approximation for the independence number of random Erdős-Rényi graphs. It also exhibits perfect performance on a benchmark arising from coding theory. These results pave the way for further development of approximate quantum algorithms on MIS, and specifically on the corresponding coding problems.
format Preprint
id arxiv_https___arxiv_org_abs_2408_06758
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle From Maximum Cut to Maximum Independent Set
Wu, Chuixiong
Wang, Jianan
Zuo, Fen
Quantum Physics
Combinatorics
Optimization and Control
The Maximum Cut (Max-Cut) problem could be naturally expressed either in a Quadratic Unconstrained Binary Optimization (QUBO) formulation, or as an Ising model. It has long been known that the Maximum Independent Set (MIS) problem could also be related to a specific Ising model. Therefore, it would be natural to attack MIS with various Max-Cut/Ising solvers. It turns out that this strategy greatly improves the approximation for the independence number of random Erdős-Rényi graphs. It also exhibits perfect performance on a benchmark arising from coding theory. These results pave the way for further development of approximate quantum algorithms on MIS, and specifically on the corresponding coding problems.
title From Maximum Cut to Maximum Independent Set
topic Quantum Physics
Combinatorics
Optimization and Control
url https://arxiv.org/abs/2408.06758