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arXiv 1303.3771quant-ph
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无源线性量子系统的系统辨识

System identification for passive linear quantum systems

Madalin Guta, Naoki Yamamoto

摘要:

系统识别是实现量子技术(包括量子控制)的关键组成部分。本文考虑一类无源线性输入输出系统,研究了几个基本问题:(1)哪些参数是可辨识的?(2)在给定足够的输入输出数据的情况下,如何重构系统参数?(3)我们如何通过准备适当的输入状态并对输出进行测量来优化估计精度?我们发现,最小系统可以识别的模式上的一个单一的变换,和系统满足一个称为“感染”的哈密顿连接条件是完全可识别的。提出了一种基于Fisher信息准则的频域设计方法,以优化相干输入状态的估计精度。由于传递函数的么正性,我们证明了相对于输入能量的海森堡极限可以通过非经典输入态来实现。

英文摘要:

System identification is a key enabling component for the implementation of quantum technologies, including quantum control. In this paper, we consider the class of passive linear input-output systems, and investigate several basic questions: (1) which parameters can be identified? (2) Given sufficient input-output data, how do we reconstruct the system parameters? (3) How can we optimize the estimation precision by preparing appropriate input states and performing measurements on the output? We show that minimal systems can be identified up to a unitary transformation on the modes, and systems satisfying a Hamiltonian connectivity condition called "infecting" are completely identifiable. We propose a frequency domain design based on a Fisher information criterion, for optimizing the estimation precision for coherent input state. As a consequence of the unitarity of the transfer function, we show that the Heisenberg limit with respect to the input energy can be achieved using non-classical input states.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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