人工智能背景下量子机器学习算法的概论  

An Introduction to Quantum Machine Learning Algorithm in the Background of Artificial Intelligence

作　　者：彭志勇 龙虎 Peng Zhiyong;Long Hu(College of Big Data Engineering,Kaili University,Kaili Guizhou 556011,China)

机构地区：[1]凯里学院大数据工程学院,贵州凯里556011

出　　处：《信息与电脑》2020年第4期39-40,43,共3页Information & Computer

基　　金：黔东南州科技计划项目“人工智能背景下量子机器学习的研究”(项目编号:黔东南科合J字〔2019〕148号)。

摘　　要：近年来,机器学习成为研究的热点,对各行各业都有着非常大的影响。研究人员发现,结合量子计算特点的新机器学习算法可以加快传统算法的发展,这类成果引起了广泛的关注和研究。基于此,笔者首先总结了量子机器学习的最新算法知识,并介绍了人工智能、量子计算以及机器学习算法的基本概念,进而对量子机器学习算法与传统机器学习算法的区别和联系进行了比较和分析,最后对量子机器学习进行了总结。In recent years,machine learning has become a research hotspot,which has a great impact on all walks of life.Researchers found that the new machine learning algorithm combined with the characteristics of quantum computing can speed up the development of traditional algorithms,and this kind of achievements has attracted extensive attention and research.Based on this,the author first summarizes the latest algorithm knowledge of quantum machine learning,and introduces the basic concepts of artificial intelligence,quantum computing and machine learning algorithm,then compares and analyzes the differences and connections between quantum machine learning algorithm and traditional machine learning algorithm,and finally summarizes quantum machine learning.

关 键 词：量子计算 机器学习 人工智能 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TP38[自动化与计算机技术—控制科学与工程]