Quantum Phase Estimation Using Multivalued Logic

V. Parasa, M. Perkowski
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引用次数: 12

Abstract

Quantum phase estimation (QPE) is one of the most important quantum algorithms which is used as a subroutine for other important quantum algorithms like Shor's factoring algorithm, simulation of quantum systems, quantum counting and QFT on arbitrary Zp. In this paper we develop the theoretical framework for the multivalued quantum logic version of the QPE algorithm using d valued qudits and show a quantum circuit to implement QPE with a complexity of O(nlogn) single qudit operations. The multivalued QPE algorithm, when compared to the binary quantum logic version, turns out to be more robust and leads to a significant decrease in the number of qudits required along with drastic improvement in the precision and success probability. We derive the requirements to amplify the probability of success to a value very close to 1 (for a given precision), thereby generalizing the previously obtained result in the binary case. Also, we note that the failure probability of QPE algorithm decreases exponentially as d increases.
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基于多值逻辑的量子相位估计
量子相位估计(QPE)是最重要的量子算法之一,它是Shor因子分解算法、量子系统模拟、量子计数和任意Zp上的QFT等重要量子算法的子程序。在本文中,我们发展了QPE算法的多值量子逻辑版本的理论框架,并给出了一个量子电路来实现复杂度为O(nlogn)单量子运算的QPE。与二进制量子逻辑版本相比,多值QPE算法具有更强的鲁棒性,并且所需的量子数显著减少,精度和成功概率显著提高。我们推导出将成功概率放大到非常接近1的值的需求(对于给定的精度),从而推广之前在二进制情况下获得的结果。此外,我们注意到QPE算法的失效概率随着d的增加呈指数下降。
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