Distributed Shor's algorithm

Li Xiao, Daowen Qiu, Leon Luo, P. Mateus
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引用次数: 7

Abstract

Shor's algorithm is one of the most important quantum algorithm proposed by Peter Shor [Proceedings of the 35th Annual Symposium on Foundations of Computer Science, 1994, pp. 124--134]. Shor's algorithm can factor a large integer with certain probability and costs polynomial time in the length of the input integer. The key step of Shor's algorithm is the order-finding algorithm, the quantum part of which is to estimate $s/r$, where $r$ is the ``order" and $s$ is some natural number that less than $r$. {{Shor's algorithm requires lots of qubits and a deep circuit depth, which is unaffordable for current physical devices.}} In this paper, to reduce the number of qubits required and circuit depth, we propose a quantum-classical hybrid distributed order-finding algorithm for Shor's algorithm, which combines the advantages of both quantum processing and classical processing. {{ In our distributed order-finding algorithm, we use two quantum computers with the ability of quantum teleportation separately to estimate partial bits of $s/r$.}} The measuring results will be processed through a classical algorithm to ensure the accuracy of the results. Compared with the traditional Shor's algorithm that uses multiple control qubits, our algorithm reduces nearly $L/2$ qubits for factoring an $L$-bit integer and reduces the circuit depth of each computer.
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分布式肖尔算法
Shor算法是Peter Shor提出的最重要的量子算法之一[Proceedings of the 35 Annual Symposium on Foundations of Computer Science, 1994, pp. 124—134]。Shor算法能够以一定的概率分解一个大整数,并且在输入整数的长度上花费多项式的时间。Shor算法的关键步骤是寻序算法,其中量子部分是估计$s/r$,其中$r$为“阶数”,$s$为小于$r$的自然数。{{肖尔的算法需要大量的量子比特和较深的电路深度,这对于当前的物理设备来说是无法承受的。在本文中,为了减少所需的量子比特数和电路深度,我们针对Shor算法提出了一种量子-经典混合分布式寻序算法,该算法结合了量子处理和经典处理的优点。{{在我们的分布式寻序算法中,我们分别使用两台具有量子隐形传态能力的量子计算机来估计$s/r$的部分比特。测量结果将通过经典算法进行处理,保证测量结果的准确性。与传统的使用多个控制量子位的Shor算法相比,我们的算法减少了近$L/2$量子位来分解一个$L$位的整数,并且减少了每台计算机的电路深度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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