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On Quantum Methods for Machine Learning Problems Part Ⅱ: Quantum Classification Algorithms

On Quantum Methods for Machine Learning Problems Part Ⅱ: Quantum Classification Algorithms
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摘要 This is a review of quantum methods for machine learning problems that consists of two parts.The first part,"quantum tools",presented some of the fundamentals and introduced several quantum tools based on known quantum search algorithms.This second part of the review presents several classification problems in machine learning that can be accelerated with quantum subroutines.We have chosen supervised learning tasks as typical classification problems to illustrate the use of quantum methods for classification. This is a review of quantum methods for machine learning problems that consists of two parts. The first part, "quantum tools", presented some of the fundamentals and introduced several quantum tools based on known quantum search algorithms. This second part of the review presents several classification problems in machine learning that can be accelerated with quantum subroutines. We have chosen supervised learning tasks as typical classification problems to illustrate the use of quantum methods for classification.
出处 《Big Data Mining and Analytics》 2020年第1期56-67,共12页 大数据挖掘与分析(英文)
基金 supported in part by the Russian Science Foundation(No.19-19-00656) the Natural Science Foundation of Guangdong Province,China(No.2019A1515011721).
关键词 QUANTUM CLASSIFICATION BINARY CLASSIFICATION nearest NEIGHBOR algorithm quantum classification binary classification nearest neighbor algorithm
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