Patent · US Active

Probabilistic inference in machine learning using a quantum oracle

US10339466B1 · kind B1 · utility

38Cited by

0References

13Claims

0Family size

Assignee

Google LLC · US

Inventors

Nan Ding · Los Angeles, US
Masoud Mohseni · Redondo Beach, US
Hartmut Neven · Malibu, US

Key dates

Filing date	Sep 11, 2014
Grant date	Jul 2, 2019
Priority date	—
Expiry date	Oct 30, 2037

Classification

Technology area (CPC G)Physics
CPC primaryG06N10/60
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using a quantum oracle to make inference in complex machine learning models that is capable of solving artificial intelligent problems. Input to the quantum oracle is derived from the training data and the model parameters, which maps at least part of the interactions of interconnected units of the model to the interactions of qubits in the quantum oracle. The output of the quantum oracle is used to determine values used to compute loss function values or loss function gradient values or both during a training process.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.