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No Distributed Quantum Advantage for Approximate Graph Coloring

Authors: Xavier Coiteux-Roy; Francesco d'Amore; Rishikesh Gajjala; Fabian Kuhn; François Le Gall; Henrik Lievonen; Augusto Modanese; +3 Authors

No Distributed Quantum Advantage for Approximate Graph Coloring

Abstract

We give an almost complete characterization of the hardness of $c$-coloring $χ$-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 $c$-coloring in $χ$-chromatic graphs in $\tilde{\mathcal{O}}(n^{\frac{1}α})$ rounds, with $α= \bigl\lfloor\frac{c-1}{χ- 1}\bigr\rfloor$. 2) We prove that any distributed algorithm for this problem requires $Ω(n^{\frac{1}α})$ 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 only classical deterministic LOCAL and randomized LOCAL but also quantum-LOCAL, even with a pre-shared quantum state. We also show that similar arguments can be used to prove that, e.g., 3-coloring 2-dimensional grids or $c$-coloring trees remain hard problems even for the non-signaling model, and in particular do not admit any quantum advantage. Our lower-bound arguments are purely graph-theoretic at heart; no background on quantum information theory is needed to establish the proofs.

Accepted to STOC 2024

Keywords

FOS: Computer and information sciences, Quantum Physics, Discrete Mathematics (cs.DM), No-signalling, Local model, Communication complexity, Computer Science - Emerging Technologies, FOS: Physical sciences, Quantum computing, Computational Complexity (cs.CC), non-signaling model, Distributed coloring, distributed computing, Computer Science - Computational Complexity, quantum advantage, Emerging Technologies (cs.ET), Computer Science - Distributed, Parallel, and Cluster Computing, graph coloring, [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], Distributed, Parallel, and Cluster Computing (cs.DC), Quantum Physics (quant-ph), [PHYS.QPHY] Physics [physics]/Quantum Physics [quant-ph], Computer Science - Discrete Mathematics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Top 10%
Green
hybrid