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Upper Bounds on Quantum Query Complexity Inspired by the Elitzur--Vaidman Bomb Tester

机译:Elitzur-Vaidman炸弹测试仪激发的量子查询复杂性上限

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Inspired by the Elitzur--Vaidman bomb testing problem (1993), weintroduce a new query complexity model, which we call bomb querycomplexity , $B(f)$. We investigate its relationship with the usualquantum query complexity $Q(f)$, and show that $B(f)=Theta(Q(f)^2)$. This result gives a new method to derive upper bounds on quantumquery complexity: we give a method of finding bomb query algorithmsfrom classical algorithms, which then provide non-constructive upperbounds on $Q(f)=Theta(sqrt{B(f)})$. Subsequently, we were able togive explicit quantum algorithms matching our new bounds. We applythis method to the single-source shortest paths problem on unweightedgraphs, obtaining an algorithm with $O(n^{1.5})$ quantum querycomplexity, improving the best known algorithm of $O(n^{1.5}log n)$(Dürr et al. 2006, Furrow 2008). Applying this method to themaximum bipartite matching problem gives an algorithm with$O(n^{1.75})$ quantum query complexity, improving the best known(trivial) $O(n^2)$ upper bound. A conference version of this paper appeared in the Proceedings of the 30th Computational Complexity Conference, 2015.
机译:受Elitzur-Vaidman炸弹测试问题(1993)的启发,我们引入了一个新的查询复杂度模型,我们将其称为炸弹查询复杂度$ B(f)$。我们研究其与通常的量子查询复杂度$ Q(f)$的关系,并证明$ B(f)= Theta(Q(f)^ 2)$。此结果提供了一种新的方法来推导量子查询复杂性的上限:我们提供了一种从经典算法中查找炸弹查询算法的方法,然后该方法提供了$ Q(f)= Theta( sqrt {B(f) })$。随后,我们能够给出与新边界匹配的显式量子算法。我们将此方法应用于未加权图形上的单源最短路径问题,获得了具有$ O(n ^ {1.5})$个量子查询复杂度的算法,改进了最著名的$ O(n ^ {1.5} log n)$个算法。 (Dürret al.2006,Furrow 2008)。将这种方法应用于最大二分匹配问题,可得出具有$ O(n ^ {1.75})$个量子查询复杂度的算法,从而改善了最著名的(平凡的)$ O(n ^ 2)$上限。本文的会议版本发表在2015年第30届计算复杂性会议论文集上。

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