A short review on the maximum clique problem algorithms with classical, AI, and quantum methods

Abstract This manuscript provides a comprehensive review of the Maximum Clique Problem, a computational problem that involves finding subsets of vertices in a graph that are all pairwise adjacent to each other. As such, this review is a continuation of the series of previous reviews from 1994, 1999 and 2014. The manuscript covers in a simple way classical algorithms and includes a review of recent developments in graph neural networks and quantum algorithms.

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Publication Details

Journal
Communications Physics
Published
2026-07-16
DOI
https://doi.org/10.1038/s42005-026-02606-7
Primary Topic
Complexity and Algorithms in Graphs
Type
article
Field-Weighted Citation Impact
0.00

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article

A short review on the maximum clique problem algorithms with classical, AI, and quantum methods

Bogdán Zaválnij, Raffaele Marino, Lorenzo Buffoni
Communications Physics
Complexity and Algorithms in Graphs
article

A short review on the maximum clique problem algorithms with classical, AI, and quantum methods

Bogdán Zaválnij, Raffaele Marino, Lorenzo Buffoni
article en

Abstract

Abstract This manuscript provides a comprehensive review of the Maximum Clique Problem, a computational problem that involves finding subsets of vertices in a graph that are all pairwise adjacent to each other. As such, this review is a continuation of the series of previous reviews from 1994, 1999 and 2014. The manuscript covers in a simple way classical algorithms and includes a review of recent developments in graph neural networks and quantum algorithms.

Communications PhysicsVol. 9(1)
HUN-REN Alfréd Rényi Institute of Mathematics (HU), University of Florence (IT)
European Commission
Openalex Percentile: Top 7%
Complexity and Algorithms in Graphs
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