No distributed quantum advantage for approximate graph coloring
Xavier Coiteux-Roy, Francesco d'Amore, Rishikesh Gajjala, Fabian Kuhn,, Fran\c{c}ois Le Gall, Henrik Lievonen, Augusto Modanese, Marc-Olivier Renou,, Gustav Schmid, Jukka Suomela

TL;DR
This paper proves that for approximate graph coloring problems, distributed quantum algorithms do not outperform classical ones, establishing tight bounds and demonstrating the problems' inherent complexity across various distributed models.
Contribution
It introduces a new distributed algorithm for graph coloring and proves matching lower bounds in the non-signaling model, showing no quantum advantage for these problems.
Findings
Distributed quantum algorithms do not outperform classical algorithms for graph coloring.
The paper provides tight bounds for coloring problems in the non-signaling model.
Approximate graph coloring remains hard even with quantum resources.
Abstract
We give an almost complete characterization of the hardness of -coloring -chromatic graphs with distributed algorithms, for a wide range of models of distributed computing. In particular, we show that these problems do not admit any distributed quantum advantage. To do that: 1) We give a new distributed algorithm that finds a -coloring in -chromatic graphs in rounds, with . 2) We prove that any distributed algorithm for this problem requires rounds. Our upper bound holds in the classical, deterministic LOCAL model, while the near-matching lower bound holds in the non-signaling model. This model, introduced by Arfaoui and Fraigniaud in 2014, captures all models of distributed graph algorithms that obey physical causality; this includes not…
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Quantum Computing Algorithms and Architecture · Distributed systems and fault tolerance
