CONGEST网络中直径的亚线性时间量子计算

F. Gall, F. Magniez
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引用次数: 29

摘要

直径的计算是分布式计算中最核心的问题之一。在标准的CONGEST模型中,相邻的两个节点每轮可以交换O(log n)个比特(这里n表示网络的节点数),已知精确计算直径需要Ω(n)轮,即使在直径恒定的网络中也是如此。在本文中,我们研究了在量子拥塞模型中解决这个问题的量子分布式算法,其中两个相邻节点每轮可以交换O(log n)量子比特。我们的主要成果是精确直径计算的O(√D)圆量子分布算法,其中D表示直径。这显示了在CONGEST模型中量子算法和经典算法的计算能力之间的分离。我们还展示了计算直径的任何量子算法的圆复杂度的无条件下界Ω(√),并且进一步展示了每个节点只能使用多(log n)量子比特内存的任何分布式量子算法的严格下界Ω(√D)。
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Sublinear-Time Quantum Computation of the Diameter in CONGEST Networks
The computation of the diameter is one of the most central problems in distributed computation. In the standard CONGEST model, in which two adjacent nodes can exchange O(log n) bits per round (here n denotes the number of nodes of the network), it is known that exact computation of the diameter requires Ω(n) rounds, even in networks with constant diameter. In this paper we investigate quantum distributed algorithms for this problem in the quantum CONGEST model, where two adjacent nodes can exchange O(log n) quantum bits per round. Our main result is a O(√D )-round quantum distributed algorithm for exact diameter computation, where D denotes the diameter. This shows a separation between the computational power of quantum and classical algorithms in the CONGEST model. We also show an unconditional lower bound Ω(√ ) on the round complexity of any quantum algorithm computing the diameter, and furthermore show a tight lower bound Ω(√D ) for any distributed quantum algorithm in which each node can use only poly(log n) quantum bits of memory.
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