Quantum reinforcement learning agent
US12175342B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 3, 2023 |
| Grant date | Dec 24, 2024 |
| Priority date | — |
| Expiry date | Mar 11, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems, computer-implemented methods, and computer program products that can facilitate applying a reinforcement learning policy to available actions are described. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a state encoder that maps, based on one or more encoding parameters, a state of an environment on to one or more qubits of a quantum device. The system can further comprise a variational component that combines a reinforcement learning policy with a sampling of the one or more qubits, resulting, based on one or more variational parameters, in a probability distribution of a plurality of available actions at the state of the environment.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.