Systems and methods for machine learning
US10817796B2 · kind B2 · utility
13Cited by
8References
12Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Mar 7, 2017 |
| Grant date | Oct 27, 2020 |
| Priority date | — |
| Expiry date | May 23, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2111/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A hybrid computer comprising a quantum processor can be operated to perform a scalable comparison of high-entropy samplers. Performing a scalable comparison of high-entropy samplers can include comparing entropy and KL divergence of post-processed samplers. A hybrid computer comprising a quantum processor generates samples for machine learning. The quantum processor is trained by matching data statistics to statistics of the quantum processor. The quantum processor is tuned to match moments of the data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.