Data-Driven System Identification of Linear Quantum Systems Coupled to Time-Varying Coherent Inputs
Quantum Physics
2020-12-14 v1 Systems and Control
Systems and Control
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.
Cite
@article{arxiv.2012.06040,
title = {Data-Driven System Identification of Linear Quantum Systems Coupled to Time-Varying Coherent Inputs},
author = {H. I. Nurdin and N. H. Amini and J. Chen},
journal= {arXiv preprint arXiv:2012.06040},
year = {2020}
}
Comments
12 pages, 3 figures. To appear in the Proceedings of the 59th IEEE Conference on Decision and Control, https://cdc2020.ieeecss.org/