CNIPA.AI
검색으로 돌아가기
기록

GUIDED QUBO CODE GENERATION FROM NATURAL LANGUAGE

발명심사 중
20청구항 · 2 독립항
§ Ⅰ

개요

발명자

Ítalo Gomes Santana; Pedro Fratini Chem; Diego Vrague Noble; Alexander Eulalio Robles Robles

IPC 분류

G6F 8/30G6F 16/33G6F 16/338

CPC 분류

G6F8/311G6F16/3344G6F16/338

One example method for generating QUBO (quadratic unconstrained binary optimization) problem source code, includes receiving a natural language description of a target optimization problem to be solved, based on the natural language description, performing a query to obtain a list that includes problems similar to the optimization problem, receiving a user selection of one of the problems in the list, either, retrieving penalties associated with the selected problem, or receiving a user indication that the penalties do not adequately conform with the target optimization problem, and when there is no receipt of the user indication, using the penalties, and the selected problem, to generate source code for a target QUBO problem that represents the target optimization problem.

원문 (중국어)

One example method for generating QUBO (quadratic unconstrained binary optimization) problem source code, includes receiving a natural language description of a target optimization problem to be solved, based on the natural language description, performing a query to obtain a list that includes problems similar to the optimization problem, receiving a user selection of one of the problems in the list, either, retrieving penalties associated with the selected problem, or receiving a user indication that the penalties do not adequately conform with the target optimization problem, and when there is no receipt of the user indication, using the penalties, and the selected problem, to generate source code for a target QUBO problem that represents the target optimization problem.