Quantum computing with kernel methods for machine learning
US12321838B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 19, 2021 |
| Grant date | Jun 3, 2025 |
| Priority date | — |
| Expiry date | Apr 4, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N10/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus for quantum machine learning. In one aspect, a method includes obtaining, by a quantum computing device, a training dataset of quantum data points; computing, by the quantum computing device, a kernel matrix that represents a similarity between the quantum data points included in the training dataset, comprising computing a value of a kernel function for each pair of quantum data points in the training dataset, wherein the kernel function is based on reduced density matrices for the quantum data points; and providing, by the quantum computing device, the kernel matrix to a classical processor, wherein the classical processor performs a training algorithm using the kernel matrix to construct a machine learning model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.