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:

Nov. 30, 2020
Applicant:

Accenture Global Solutions Limited, Dublin, IE;

Inventors:

Janardan Misra, Karnataka, IN;

Vikrant S. Kaulgud, Pune, IN;

Sanjay Podder, Thane, IN;

Rupesh Kaslay, Maharashtra, IN;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 5/02 (2023.01); G06F 18/21 (2023.01); G06F 18/22 (2023.01); G06F 40/289 (2020.01); G06F 40/30 (2020.01); G06N 5/04 (2023.01); G06N 10/80 (2022.01);
U.S. Cl.
CPC ...
G06N 5/02 (2013.01); G06F 18/217 (2023.01); G06F 18/22 (2023.01); G06F 40/289 (2020.01); G06F 40/30 (2020.01); G06N 5/04 (2013.01); G06N 10/80 (2022.01);
Abstract

In some implementations, an advisor system may receive a description of a problem to be solved and problem data identifying quantum computing-related and classical computing-related problems. The advisor system may perform natural language processing on the description of the problem and the problem data to respectively generate a problem embedding vector for the problem and to generate embedding vectors that represent the quantum computing-related and classical computing-related problems. The advisor system may process the problem embedding vector and the embedding vectors, with a vector matching model, to determine a semantically closest matching one of the embedding vectors to the problem embedding vector and, accordingly, may generate a recommendation that includes an indication to solve the problem with a classical computing resource, a quantum computing resource, or a combination of a classical computing resource and a quantum computing resource.


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