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Data-Driven System Identification of Linear Quantum Systems Coupled to Time-Varying Coherent Inputs
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.
https://hal.archives-ouvertes.fr/hal-03059873
Contributor : Nina H. Amini Connect in order to contact the contributor
Submitted on : Thursday, November 25, 2021 - 11:11:11 PM
Last modification on : Sunday, June 26, 2022 - 3:21:36 AM
Long-term archiving on: : Saturday, February 26, 2022 - 10:07:33 PM
Contributor : Nina H. Amini Connect in order to contact the contributor
Submitted on : Thursday, November 25, 2021 - 11:11:11 PM
Last modification on : Sunday, June 26, 2022 - 3:21:36 AM
Long-term archiving on: : Saturday, February 26, 2022 - 10:07:33 PM
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2012.06040.pdf
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