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 kn...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.展开更多
This is a review of quantum methods for machine learning problems that consists of two parts.The first part,"quantum tools",presents the fundamentals of qubits,quantum registers,and quantum states,introduces...This is a review of quantum methods for machine learning problems that consists of two parts.The first part,"quantum tools",presents the fundamentals of qubits,quantum registers,and quantum states,introduces important quantum tools based on known quantum search algorithms and SWAP-test,and discusses the basic quantum procedures used for quantum search methods.The second part,"quantum classification algorithms",introduces several classification problems that can be accelerated by using quantum subroutines and discusses the quantum methods used for classification.展开更多
基金supported in part by the Russian Science Foundation(No.19-19-00656)the Natural Science Foundation of Guangdong Province,China(No.2019A1515011721).
文摘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.
基金supported in part by the Russian Science Foundation(No.19-19-00656)Natural Science Foundation of Guangdong Province,China(No.2019A1515011721).
文摘This is a review of quantum methods for machine learning problems that consists of two parts.The first part,"quantum tools",presents the fundamentals of qubits,quantum registers,and quantum states,introduces important quantum tools based on known quantum search algorithms and SWAP-test,and discusses the basic quantum procedures used for quantum search methods.The second part,"quantum classification algorithms",introduces several classification problems that can be accelerated by using quantum subroutines and discusses the quantum methods used for classification.
