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...

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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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creator	FRITZ, Michelle FLAMENT, Mael SEKELSKY, Rourke NAMAZI, Mehdi BELLO PORTMANN, Gabriel
description	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.
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subjects	BASIC ELECTRONIC CIRCUITRY ELECTRICITY IMPEDANCE NETWORKS, e.g. RESONANT CIRCUITS OPTICAL ELEMENTS, SYSTEMS, OR APPARATUS OPTICS PHYSICS RESONATORS
title	Systems and methods for tuning optical cavities using machine learning techniques
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