| Title | Efficient algorithms for quantum information bottleneck |
| Author | |
| Corresponding Author | Hayashi, Masahito |
| Publication Years | 2023-02-25
|
| DOI | |
| Source Title | |
| ISSN | 2521-327X
|
| Volume | 7 |
| 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 Type | Journal Article |
| Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/524054 |
| Department | Institute 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 Affilication | Institute for Quantum Science and Engineering |
| Corresponding Author Affilication | Institute for Quantum Science and Engineering |
| First Author's First Affilication | Institute 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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