论文标题
连续观察的量子系统的参数估计和系统识别
Parameter estimation and system identification for continuously-observed quantum systems
论文作者
论文摘要
本文通过连续观察输出字段概述了量子输入输入系统的参数估计和系统识别。我们介绍了有关未知动态参数的输出信息的量子渔民信息的最新结果。我们讨论了连续时间测量作为量子Zakai方程解决方案的结构及其与参数估计方法的关系。超出参数估计的程序，本文还概述了通过连续观察流动波探测器的量子系统识别量子系统识别的新兴主题，即对于千古量子输入输入输出系统和线性量子系统。还讨论了此类黑盒建模的经验方法。
This paper gives an overview of parameter estimation and system identification for quantum input-output systems by continuous observation of the output field. We present recent results on the quantum Fisher information of the output with respect to unknown dynamical parameters. We discuss the structure of continuous-time measurements as solutions of the quantum Zakai equation, and their relationship to parameter estimation methods. Proceeding beyond parameter estimation, the paper also gives an overview of the emerging topic of quantum system identification for black-box modeling of quantum systems by continuous observation of a traveling wave probe, for the case of ergodic quantum input-output systems and linear quantum systems. Empirical methods for such black-box modeling are also discussed.
