Data-Driven System Identification of Linear Quantum Systems Coupled to Time-Varying Coherent Inputs
arXiv:2012.06040
Abstract
In this paper, we develop a system identification algorithm to identify a model for unknown linear quantum systems driven by time-varying coherent states, based on empirical single-shot continuous homodyne measurement data of the system's output. The proposed algorithm identifies a model that satisfies the physical realizability conditions for linear quantum systems, challenging constraints not encountered in classical (non-quantum) linear system identification. Numerical examples on a multiple-input multiple-output optical cavity model are presented to illustrate an application of the identification algorithm.
arXiv comment12 pages, 3 figures. To appear in the Proceedings of the 59th IEEE Conference on Decision and Control, https://cdc2020.ieeecss.org/
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