Data-Driven System Identification of Linear Quantum Systems Coupled to Time-Varying Coherent Inputs

• URL: http://arxiv.org/abs/2012.06040v1
• Date: Fri, 11 Dec 2020 00:02:28 GMT
• Title: Data-Driven System Identification of Linear Quantum Systems Coupled to Time-Varying Coherent Inputs
• Authors: H. I. Nurdin and N. H. Amini and J. Chen
• Abstract summary: We develop a system identification algorithm to identify a model for unknown linear quantum systems driven by time-varying coherent states. The proposed algorithm identifies a model that satisfies the physical realizability conditions for linear quantum systems.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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.

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