首页> 外文期刊>SPIN >Complexity of Eccentricities and All-Pairs Shortest Paths in the Quantum CONGEST Model
【24h】

Complexity of Eccentricities and All-Pairs Shortest Paths in the Quantum CONGEST Model

机译:圆形的复杂性和Quantum集比模型中的全对最短路径

获取原文
获取原文并翻译 | 示例
           

摘要

Computing the distance parameters of a network, including the diameter, radius, eccentricities and the all-pairs shortest paths (APSP) is a central problem in distributed computing. This paper investigates the distance parameters in the quantum CONGEST models and establishes almost linear lower bounds on eccentricities and APSP, which match the classical upper bounds. Our results imply that there is not quantum speedup for these two problems. In contrast with the diameter and radius, exchanging quantum messages is able to save the communication when the networks have low diameters [F. L. Gall and F. Magniez, Sublinear-time quantum computation of the diameter in CONGEST networks, in Proc. 2018 ACM Symp. Principles of Distributed Computing (PODC), (2018), pp. 337-346; F. Magniez and A. Nayak, arXiv:2002.11795]. We obtain the lower bounds via a reduction from the two-way quantum communication complexity of the set intersection [A. A. Razborov, Izv. Math. 159 (2003)].
机译:计算网络的距离参数,包括直径,半径,偏心率和全对最短路径(APSP)是分布式计算中的核心问题。 本文研究了量子集模型中的距离参数,并在偏心和APSP上建立了几乎线性的下限,符合经典上限。 我们的结果意味着这两个问题没有量子加速。 与直径和半径相比,交换量子消息能够在网络直径低时节省通信[F. L. Gall和F. Magniez,Sublinear-Time量子计算直径在充满网络中,进入Proc。 2018年ACM Symp。 分布式计算原理(PODC),(2018),PP。337-346; F. Magniez和A. Nayak,Arxiv:2002.11795]。 我们通过从设定交叉口的双向量子通信复杂性降低获得下限[A. A. Razborov,IZV。 数学。 159(2003)]。

著录项

  • 来源
    《SPIN》 |2021年第3期|2140007.1-2140007.11|共11页
  • 作者单位

    Nanjing Univ State Key Lab Novel Software Technol Nanjing Peoples R China;

    Nanjing Univ State Key Lab Novel Software Technol Nanjing Peoples R China;

    Nanjing Univ State Key Lab Novel Software Technol Nanjing Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Quantum computation; CONGEST model; communication complexity;

    机译:量子计算;充满型号;通信复杂性;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号