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Large independent sets on random $d$-regular graphs with fixed degree $d$

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arxiv 2003.12293 v2 pith:OGKC32P5 submitted 2020-03-27 cs.DS

classification cs.DS
keywords algorithmboundsdegreefixedindependentlargelowerrandom
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abstract

This paper presents a linear prioritized local algorithm that computes large independent sets on a random $d$-regular graph with small and fixed degree $d$. We studied experimentally the independence ratio obtained by the algorithm when $ d \in [3,100]$. For all $d \in [5,100]$, our results are larger than lower bounds calculated by exact methods, thus providing improved estimates of lower bounds.

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    QISS classically samples a pairwise model built from O(N) low-weight QAOA correlators and outperforms standard QAOA at larger depths on MaxCut and MIS benchmarks.

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