返回
Kernel methods in Quantum Machine Learning
DOI:10.1007/s42484-019-00007-4.png)
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
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
IF:
4.4
论文数:
439
被引数:
796
机构
引用论文
Glucosylation of low-density lipoproteins to an extent comparable to that seen in diabetes slows their catabolism
Diabetes
IF0
How Plants Benefit from Providing Food to Predators Even When It Is Also Edible to Herbivores
Ecology
IF0
Methylglyoxal Induces Platelet Hyperaggregation and Reduces Thrombus Stability by Activating PKC and Inhibiting PI3K/Akt Pathway
PLoS ONE
IF0

