中文版 | English
Title

Efficient algorithms for quantum information bottleneck

Author
Corresponding AuthorHayashi, Masahito
Publication Years
2023-02-25
DOI
Source Title
ISSN
2521-327X
Volume7
Abstract
The ability to extract relevant information is critical to learning. An ingenious approach as such is the information bottleneck, an optimi-sation problem whose solution corresponds to a faithful and memory-efficient representation of relevant information from a large system. The advent of the age of quantum computing calls for efficient methods that work on infor-mation regarding quantum systems. Here we address this by proposing a new and general algorithm for the quantum generalisation of in-formation bottleneck. Our algorithm excels in the speed and the definiteness of convergence compared with prior results. It also works for a much broader range of problems, including the quantum extension of deterministic infor-mation bottleneck, an important variant of the original information bottleneck problem. No-tably, we discover that a quantum system can achieve strictly better performance than a clas-sical system of the same size regarding quan-tum information bottleneck, providing new vi-sion on justifying the advantage of quantum machine learning.
URL[Source Record]
Indexed By
Language
English
SUSTech Authorship
First ; Corresponding
WOS Research Area
Physics
WOS Subject
Quantum Science & Technology ; Physics, Multidisciplinary
WOS Accession No
WOS:000958945600001
Publisher
Data Source
Web of Science
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/524054
DepartmentInstitute for Quantum Science and Engineering
Affiliation
1.Southern Univ Sci & Technol, Shenzhen Inst Quantum Sci & Engn, Shenzhen 518055, Peoples R China
2.Int Quantum Acad SIQA, Shenzhen 518048, Peoples R China
3.Southern Univ Sci & Technol, Guangdong Prov Key Lab Quantum Sci & Engn, Shenzhen 518055, Peoples R China
4.Nagoya Univ, Grad Sch Math, Nagoya, Aichi 4648602, Japan
5.Univ Hong Kong, Dept Comp Sci, QICI Quantum Informat & Computat Initiat, Pokfulam Rd, Hong Kong, Peoples R China
First Author AffilicationInstitute for Quantum Science and Engineering
Corresponding Author AffilicationInstitute for Quantum Science and Engineering
First Author's First AffilicationInstitute for Quantum Science and Engineering
Recommended Citation
GB/T 7714
Hayashi, Masahito,Yang, Yuxiang. Efficient algorithms for quantum information bottleneck[J]. QUANTUM,2023,7.
APA
Hayashi, Masahito,&Yang, Yuxiang.(2023).Efficient algorithms for quantum information bottleneck.QUANTUM,7.
MLA
Hayashi, Masahito,et al."Efficient algorithms for quantum information bottleneck".QUANTUM 7(2023).
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