Quantum Distributed Algorithm for the All-Pairs Shortest Path Problem in the CONGEST-CLIQUE Model

Taisuke Izumi, F. Gall
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引用次数: 21

Abstract

The All-Pairs Shortest Path problem (APSP) is one of the most central problems in distributed computation. In the CONGEST-CLIQUE model, in which n nodes communicate with each other over a fully connected network by exchanging messages of O(łog n) bits in synchronous rounds, the best known general algorithm for APSP uses Õ(n1/3) rounds. Breaking this barrier is a fundamental challenge in distributed graph algorithms. In this paper we investigate for the first time quantum distributed algorithms in the CONGEST-CLIQUE model, where nodes can exchange messages of O(log n) quantum bits, and show that this barrier can be broken: we construct a Õ(n1/4)-round quantum distributed algorithm for the APSP over directed graphs with polynomial weights in the CONGEST-CLIQUE model. This speedup in the quantum setting contrasts with the case of the standard CONGEST model, for which Elkin et al. (PODC 2014) showed that quantum communication does not offer significant advantages over classical communication. Our quantum algorithm is based on a relationship discovered by Vassilevska Williams and Williams (JACM 2018) between the APSP and the detection of negative triangles in a graph. The quantum part of our algorithm exploits the framework for quantum distributed search recently developed by Le Gall and Magniez (PODC 2018). Our main technical contribution is a method showing how to implement multiple quantum searches (one for each edge in the graph) in parallel without introducing congestions.
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CONGEST-CLIQUE模型中全对最短路径问题的量子分布算法
全对最短路径问题(APSP)是分布式计算中的核心问题之一。在CONGEST-CLIQUE模型中,n个节点在一个完全连接的网络上通过同步轮交换O(łog n)比特的消息进行通信,最著名的APSP通用算法使用Õ(n1/3)轮。打破这个障碍是分布式图算法的一个基本挑战。本文首次研究了CONGEST-CLIQUE模型中的量子分布式算法,其中节点可以交换O(log n)量子比特的消息,并证明了这一障碍是可以被打破的:我们构造了一个在CONGEST-CLIQUE模型中具有多项式权值的有向图上的APSP的Õ(n1/4)-round量子分布式算法。量子环境下的这种加速与标准CONGEST模型的情况形成对比,Elkin等人(PODC 2014)表明,量子通信并不比经典通信具有显著优势。我们的量子算法基于Vassilevska Williams和Williams (JACM 2018)发现的APSP与图中负三角形检测之间的关系。我们算法的量子部分利用了Le Gall和Magniez最近开发的量子分布式搜索框架(PODC 2018)。我们的主要技术贡献是一种方法,展示了如何在不引入拥塞的情况下并行实现多个量子搜索(图中的每个边一个)。
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