On the Speed Limit for Imaginary-Time Schrödinger Equation with Application to Quantum Searches

IF 1.3 4区 物理与天体物理 Q3 PHYSICS, MATHEMATICAL
Jie Sun, Songfeng Lu
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引用次数: 0

Abstract

Recently, Okuyama and Ohzek [1] derived a speed limit for the imaginary-time Schrödinger equation, which is inspired by the prior work of Kieu, who had shown a new class of time–energy uncertainty relations suitable for actually evaluating the speed limit of quantum dynamics. In this paper, we apply the result of Okuyama and Ohzek to obtain a generalized speed limit for Grover’s search in imaginary-time quantum annealing. An estimate of the lower bound on the computational time is shown, from which the role of the coefficient function corresponding to the final Hamiltonian played in the quantum dynamics for the problem is sticking out. However, when trying to apply the speed limit to the analogue of Grover’s problem, we find that not only the coefficient of the target Hamiltonian is related to the time complexity of the algorithm, but also the coefficient of the initial Hamiltonian is crucial for determining the time complexity. This is new and generalizes one of the results in our previous work.
虚时间Schrödinger方程的速度极限及其在量子搜索中的应用
最近,Okuyama和Ohzek[1]导出了虚时间Schrödinger方程的速度极限,这是受到Kieu先前工作的启发,Kieu已经展示了一类新的时间-能量不确定性关系,适合于实际评估量子动力学的速度极限。本文应用Okuyama和Ohzek的结果,得到了虚时间量子退火中Grover搜索的广义速度极限。给出了计算时间下界的估计,由此可以看出与最终哈密顿量相对应的系数函数在量子动力学中所起的作用。然而,当试图将速度限制应用于格罗弗问题的模拟时,我们发现不仅目标哈密顿量的系数与算法的时间复杂度有关,而且初始哈密顿量的系数对于确定时间复杂度也至关重要。这是一个新的结论,它概括了我们以前工作中的一个结果。
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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来源期刊
Open Systems & Information Dynamics
Open Systems & Information Dynamics 工程技术-计算机:信息系统
CiteScore
1.40
自引率
12.50%
发文量
4
审稿时长
>12 weeks
期刊介绍: The aim of the Journal is to promote interdisciplinary research in mathematics, physics, engineering and life sciences centered around the issues of broadly understood information processing, storage and transmission, in both quantum and classical settings. Our special interest lies in the information-theoretic approach to phenomena dealing with dynamics and thermodynamics, control, communication, filtering, memory and cooperative behaviour, etc., in open complex systems.
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