Solving large Minimum Vertex Cover problems on a quantum annealer

Pelofske, Elijah and Hahn, Georg and Djidjev, Hristo N. (2019) Solving large Minimum Vertex Cover problems on a quantum annealer. arxiv.org.

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Abstract

We consider the minimum vertex cover problem having applications in e.g. biochemistry and network security. Quantum annealers can find the optimum solution of such NP-hard problems, given they can be embedded on the hardware. This is often infeasible due to limitations of the hardware connectivity structure. This paper presents a decomposition algorithm for the minimum vertex cover problem: The algorithm recursively divides an arbitrary problem until the generated subproblems can be embedded and solved on the annealer. To speed up the decomposition, we propose several pruning and reduction techniques. The performance of our algorithm is assessed in a simulation study.

Item Type:
Journal Article
Journal or Publication Title:
arxiv.org
Subjects:
?? QUANT-PHCS.DS ??
ID Code:
132535
Deposited By:
Deposited On:
10 Apr 2019 13:15
Refereed?:
No
Published?:
Published
Last Modified:
18 Sep 2023 01:33