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Data-Driven System Identification of Linear Quantum Systems Coupled to Time-Varying Coherent Inputs (2012.06040v1)
Published 11 Dec 2020 in quant-ph, cs.SY, and eess.SY
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.