Systems and methods for machine learning using adiabatic quantum computers
US11410067B2 · kind B2 · utility
1Cited by
12References
14Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Aug 18, 2016 |
| Grant date | Aug 9, 2022 |
| Priority date | — |
| Expiry date | Oct 30, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T1/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computational system can include digital circuitry and analog circuitry, for instance a digital processor and a quantum processor. The quantum processor can operate as a sample generator providing samples. Samples can be employed by the digital processing in implementing various machine learning techniques. For example, the digital processor can operate as a restricted Boltzmann machine. The computational system can operate as a quantum-based deep belief network operating on a training data-set.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.