Lower Bound for Simulation Cost of Open Quantum Systems: Lipschitz Continuity Approach

IF 2.2 1区 物理与天体物理 Q1 PHYSICS, MATHEMATICAL
Zhiyan Ding, Marius Junge, Philipp Schleich, Peixue Wu
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Abstract

Simulating quantum dynamics is one of the most promising applications of quantum computers. While the upper bound of the simulation cost has been extensively studied through various quantum algorithms, much less work has focused on establishing the lower bound, particularly for the simulation of open quantum system dynamics. In this work, we present a general framework to calculate the lower bound for simulating a broad class of quantum Markov semigroups. Given a fixed accessible unitary set, we introduce the concept of convexified gate count to quantify the quantum simulation cost and analyze the necessary gate count to construct a quantum simulation scheme that achieves a specific order. Our framework can be applied to both unital and non-unital quantum dynamics, and the tightness of our lower bound technique is illustrated by showing that the upper and lower bounds coincide in several examples.

Abstract Image

开放量子系统模拟代价的下界:Lipschitz连续性方法
模拟量子动力学是量子计算机最有前途的应用之一。虽然模拟成本的上界已经通过各种量子算法进行了广泛的研究,但建立下界的工作却很少,特别是对于开放量子系统动力学的模拟。在这项工作中,我们提出了一个计算下界的一般框架来模拟一类广义的量子马尔可夫半群。给定一个固定的可达酉集,我们引入凸化门数的概念来量化量子模拟成本,并分析了构建达到特定顺序的量子模拟方案所需的门数。我们的框架可以应用于单位和非单位量子动力学,并且通过在几个例子中显示上界和下界重合来说明我们的下界技术的严密性。
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来源期刊
Communications in Mathematical Physics
Communications in Mathematical Physics 物理-物理:数学物理
CiteScore
4.70
自引率
8.30%
发文量
226
审稿时长
3-6 weeks
期刊介绍: The mission of Communications in Mathematical Physics is to offer a high forum for works which are motivated by the vision and the challenges of modern physics and which at the same time meet the highest mathematical standards.
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