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Mapping NP-hard and NP-complete optimisation problems to Quadratic Unconstrained Binary Optimisation problems

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arxiv 1911.08043 v4 pith:X5I3AJ4I submitted 2019-11-18 cs.DS cond-mat.stat-mechcs.CCquant-ph

classification cs.DScond-mat.stat-mechcs.CCquant-ph
keywords problemsoptimisationnp-hardbinarymappingsnp-completequadraticunconstrained
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We discuss several mappings from well-known NP-hard problems to Quadratic Unconstrained Binary Optimisation problems which are treated incorrectly by Lucas. We provide counterexamples and correct the mappings. We also extend the body of QUBO formulations of NP-complete and NP-hard optimisation problems by discussing additional problems.

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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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