Quantum inspired convolutional kernels for convolutional neural networks
US11836572B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 24, 2020 |
| Grant date | Dec 5, 2023 |
| Priority date | — |
| Expiry date | May 29, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N10/60
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Certain aspects of the present disclosure provide a method for performing quantum convolution, including: receiving input data at a neural network model, wherein the neural network model comprises at least one quantum convolutional layer; performing quantum convolution on the input data using the at least one quantum convolutional layer; generating an output wave function based on the quantum convolution using the at least one quantum convolution layer; generating a marginal probability distribution based on the output wave function; and generating an inference based on the marginal probability distribution.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.