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Graph Coloring with Quantum Annealing

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arxiv 2012.04470 v1 pith:Q5KUZKZR submitted 2020-12-08 quant-ph

classification quant-ph
keywords graphquantumalgorithmcoloringperformancesuggestsadvantageanalysis
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We develop a heuristic graph coloring approximation algorithm that uses the D-Wave 2X as an independent set sampler and evaluate its performance against a fully classical implementation. A randomly generated set of small but hard graph instances serves as our test set. Our performance analysis suggests limited quantum advantage in the hybrid quantum-classical algorithm. The quantum edge holds over multiple metrics and suggests that graph problem applications are a good fit for quantum annealers.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. A Resource-Efficient Quantum Framework for Graph Coloring and Chromatic Number Estimation

    quant-ph 2026-08 reject novelty 3.0 of 10

    A quantum graph-coloring framework with log-color encoding and a QFT-based mixer is presented; its chromatic-number term is flawed because label-sum minimization does not imply color-count minimization.

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