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:
Jul. 01, 2025

Filed:

Feb. 28, 2023
Applicant:

Hrl Laboratories, Llc, Malibu, CA (US);

Inventors:

Joseph Comer, Portland, OR (US);

Reed Andrews, Port Hueneme, CA (US);

Ian Jenkins, Westlake Village, CA (US);

Parker Williams, Calabasas, CA (US);

Heiko Hoffmann, Simi Valley, CA (US);

Wyatt Mcallister, Malibu, CA (US);

Assignee:

HRL LABORATORIES, LLC, Malibu, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/84 (2022.01); G06V 10/75 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G06V 10/84 (2022.01); G06V 10/751 (2022.01); G06V 10/82 (2022.01);
Abstract

Described is a system for pattern recognition and graph extraction. The system operates by obtaining data from a quantum dot device having gate defined semiconductor quantum dots. An image with pixel-level coordinates is then generated from the data. Ground truth graph annotations are received of the image. A deep network processes the image and pixel-level coordinates to generate a predicted graph. The predicted graph is compared to the graph annotations to generate a loss, which allows the deep network to be optimized by updating parameters in the deep network based on the loss. The image with pixel-level coordinates is then used to generate an optimized predicted graph, which allows for identifying operational voltages to apply to the quantum dot device.


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