The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 13, 2026

Filed:

Aug. 18, 2021
Applicant:

Qunnect, Inc., Brooklyn, NY (US);

Inventors:

Mehdi Namazi, Brooklyn, NY (US);

Mael Flament, Brooklyn, NY (US);

Rourke Sekelsky, Stonybrook, NY (US);

Michelle Fritz, Brooklyn, NY (US);

Gabriel Bello Portmann, Stonybrook, NY (US);

Assignee:

Qunnect, Inc., Brooklyn, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G02B 26/00 (2006.01); G06N 3/092 (2023.01);
U.S. Cl.
CPC ...
G02B 26/001 (2013.01); G06N 3/092 (2023.01);
Abstract

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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Namazi, Mehdi. (2026). Systems and methods for tuning optical cavities using machine learning techniques (U.S. Patent No. 12761463). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12761463

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