Data-Driven System Identification of Linear Quantum Systems Coupled to Time-Varying Coherent Inputs - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2020

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

Résumé

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.
Fichier principal
Vignette du fichier
2012.06040.pdf (490.59 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03059873 , version 1 (25-11-2021)

Identifiants

Citer

Hendra I. Nurdin, Nina Amini, Jiayin Chen. Data-Driven System Identification of Linear Quantum Systems Coupled to Time-Varying Coherent Inputs. 2020 59th IEEE Conference on Decision and Control (CDC), Dec 2020, Jeju, South Korea. ⟨10.1109/CDC42340.2020.9303815⟩. ⟨hal-03059873⟩
121 Consultations
71 Téléchargements

Altmetric

Partager

Gmail Mastodon Facebook X LinkedIn More