中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
QUANTUM SPEEDUP OF TRAINING RADIAL BASIS FUNCTION NETWORKS

文献类型:期刊论文

作者Shao, Changpeng
刊名QUANTUM INFORMATION & COMPUTATION
出版日期2019-06-01
卷号19期号:7-8页码:609-625
关键词quantum algorithm quantum machine learning radial basis function network
ISSN号1533-7146
英文摘要Radial basis function (RBF) network is a simple but useful neural network model that contains wide applications in machine learning. The training of an RBF network reduces to solve a linear system, which is time consuming classically. Based on HHL algorithm, we propose two quantum algorithms to train RBF networks. To apply the HHL algorithm, we choose using the Hamiltonian simulation algorithm proposed in [P. Rebentrost, A. Steffens, I. Marvian and S. Lloyd, Phys. Rev. A 97, 012327, 2018]. However, to use this result, an oracle to query the entries of the matrix of the network should be constructed. We apply the amplitude estimation technique to build this oracle. The final results indicate that if the centers of the RBF network are the training samples, then the quantum computer achieves exponential speedup at the number and the dimension of training samples over the classical computer; if the centers are determined by the K-means algorithm, then the quantum computer achieves quadratic speedup at the number of samples and exponential speedup at the dimension of samples.
资助项目National Natural Science Foundation of China[11671388] ; CAS Project[QYZDJ-SSW-SYS022]
WOS研究方向Computer Science ; Physics
语种英语
WOS记录号WOS:000471830800006
出版者RINTON PRESS, INC
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/35020]  
专题中国科学院数学与系统科学研究院
通讯作者Shao, Changpeng
作者单位Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Shao, Changpeng. QUANTUM SPEEDUP OF TRAINING RADIAL BASIS FUNCTION NETWORKS[J]. QUANTUM INFORMATION & COMPUTATION,2019,19(7-8):609-625.
APA Shao, Changpeng.(2019).QUANTUM SPEEDUP OF TRAINING RADIAL BASIS FUNCTION NETWORKS.QUANTUM INFORMATION & COMPUTATION,19(7-8),609-625.
MLA Shao, Changpeng."QUANTUM SPEEDUP OF TRAINING RADIAL BASIS FUNCTION NETWORKS".QUANTUM INFORMATION & COMPUTATION 19.7-8(2019):609-625.

入库方式: OAI收割

来源:数学与系统科学研究院

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。