QUANTUM MACHINE LEARNING DEVICES AND METHODS
卷宗概要
申请人
Silicon Quantum Computing Pty Limited
发明人
Michelle Yvonne Simmons; Casey Myers; Samuel Keith Gorman; Samuel Sutherland
IPC 分类
CPC 分类
Methods and devices for generating quantum features for a machine learning model are disclosed. The method includes: providing a quantum ML device (QMLD) comprising one or more quantum dots, one or more source gates, one or more drain gates, and one or more control gates. The method further includes transforming input data for the machine learning model into first voltages; applying the first voltages to the one or more control gates, and/or source gates, and/or drain gates; applying a second voltage to one or more of the one or more source gates; measuring a signal at one or more of the one or more drain gates; analysing the measured signal to determine values of one or more parameters; and interpreting the values of the one or more parameters as non-linear mappings of the input data to be used for the machine learning model.
原文（中文）
Methods and devices for generating quantum features for a machine learning model are disclosed. The method includes: providing a quantum ML device (QMLD) comprising one or more quantum dots, one or more source gates, one or more drain gates, and one or more control gates. The method further includes transforming input data for the machine learning model into first voltages; applying the first voltages to the one or more control gates, and/or source gates, and/or drain gates; applying a second voltage to one or more of the one or more source gates; measuring a signal at one or more of the one or more drain gates; analysing the measured signal to determine values of one or more parameters; and interpreting the values of the one or more parameters as non-linear mappings of the input data to be used for the machine learning model.