Systems and methods for tuning optical cavities using machine learning techniques

Systems and methods for tuning optical cavities using machine learning techniques

An optical system including an optical cavity and a method of tuning an optical cavity using a machine learning model is provided. The method includes determining a tuning parameter of the optical cavity by: analyzing, using a convolutional neural network (CNN) model, a measurement signal obtained f...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: FRITZ, Michelle, FLAMENT, Mael, SEKELSKY, Rourke, NAMAZI, Mehdi, BELLO PORTMANN, Gabriel
Format: Patent
Sprache:eng
Schlagworte:
BASIC ELECTRONIC CIRCUITRY
ELECTRICITY
IMPEDANCE NETWORKS, e.g. RESONANT CIRCUITS
OPTICAL ELEMENTS, SYSTEMS, OR APPARATUS
OPTICS
PHYSICS
RESONATORS
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Beschreibung
Zusammenfassung:An optical system including an optical cavity and a method of tuning an optical cavity using a machine learning model is provided. The method includes determining a tuning parameter of the optical cavity by: analyzing, using a convolutional neural network (CNN) model, a measurement signal obtained from the optical cavity to determine a degree of misalignment of the optical cavity; and determining, using a reinforcement learning (RL) model, the tuning parameter based on the degree of misalignment of the optical cavity.