Kernel methods in Quantum Machine Learning

被引：42

作者：

Mengoni, Riccardo ^{[1
]}

Di Pierro, Alessandra ^{[1
]}

机构：

[1] Univ Verona, Dept Informat, Verona, Italy

来源：

QUANTUM MACHINE INTELLIGENCE | 2019年 / 1卷 / 3-4期

关键词：

Quantum Machine Learning; Quantum computing; Kernel methods;

D O I：

10.1007/s42484-019-00007-4

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Quantum Machine Learning has established itself as one of the most promising applications of quantum computers and Noisy Intermediate Scale Quantum (NISQ) devices. In this paper, we review the latest developments regarding the usage of quantum computing for a particular class of machine learning algorithms known as kernel methods.

引用

页码：65 / 71

页数：7

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