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Kernel methods in Quantum Machine Learning

delete2019-11-15
delete35
PRE
AI
R
Riccardo Mengoni *
A
Alessandra Di Pierro
DOI:10.1007/s42484-019-00007-4delete
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摘要

摘要

En 中文
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.
Keyword:
Quantum Machine Learning
Quantum computing
Kernel methods
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Q
Quantum Machine Intelligence
IF:
4.4
论文数:
439
被引数:
796

机构

U
University of Verona
学者数:
1.9W
论文数: 1.4W
被引数: 1.5W
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