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Quantum Algorithm for Triangle Finding in Sparse Graphs

机译:稀疏图中三角形查找量的量子算法

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This paper presents a quantum algorithm for triangle finding over sparse graphs that improves over the previous best quantum algorithm for this task by Buhrman et al. [SIAM Journal on Computing, 2005]. Our algorithm is based on the recent O(n~(5/4))-query algorithm given by Le Gall [FOCS 2014] for triangle finding over dense graphs (here n denotes the number of vertices in the graph). We show in particular that triangle finding can be solved with O(n~(5/4-∈)) queries for some constant ∈ > 0 whenever the graph has at most O(n~(2-c)) edges for some constant c > 0.
机译:本文介绍了三角形的量子算法,查找稀疏图表,由Buhrman等人提高了以前的最佳量子算法。 [Siam Councle Computing,2005]。我们的算法基于最近的O(n〜(5/4)) - Le angl [Focs 2014]给出的查询算法,用于在密集图中找到三角形(这里N表示图表中的顶点数)。我们尤其表明,每当图表最多的O(n〜(2-c))的边缘,可以用O(n〜(5/4-∈))查询来解决三角发现。 C> 0。

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