Quantum computing machine learning module
US11803772B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 11, 2019 |
| Grant date | Oct 31, 2023 |
| Priority date | — |
| Expiry date | Oct 2, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/06
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus for training a machine learning model to route received computational tasks in a system including at least one quantum computing resource. In one aspect, a method includes obtaining a first set of data, the first set of data comprising data representing multiple computational tasks previously performed by the system; obtaining input data for the multiple computational tasks previously performed by the system, comprising data representing a type of computing resource the task was routed to; obtaining a second set of data, the second set of data comprising data representing properties associated with using the one or more quantum computing resources to solve the multiple computational tasks; and training the machine learning model to route received data representing a computational task to be performed using the (i) first set of data, (ii) input data, and (iii) second set of data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.