QUANTUM COMPUTING WITH KERNEL METHODS FOR MACHINE LEARNING

    公开(公告)号:US20220121998A1

    公开(公告)日:2022-04-21

    申请号:US17505202

    申请日:2021-10-19

    Applicant: Google LLC

    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.

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