Hybrid quantum-classical adversarial generator
US11468289B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 12, 2021 |
| Grant date | Oct 11, 2022 |
| Priority date | — |
| Expiry date | Feb 12, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N10/60
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for training an adversarial generator from a data set and a classifier includes: (A) training a classical noise generator whose input includes an output of a quantum generator, the classical noise generator having a first set of parameters, the training comprising: sampling from the data set to produce a first sample and a first corresponding label for the first sample; producing an output of the classical noise generator based on the output of the quantum generator and the first sample; producing a noisy example based on the output of the classical noise generator and the first sample; providing the noisy example to the classifier to produce a second corresponding label for the first sample; updating the first set of parameters such that the first corresponding label of the first sample differs from the second corresponding label of the first sample.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.