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  4. Moderate deviations for quantum hypothesis testing and a martingale inequality
 
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Moderate deviations for quantum hypothesis testing and a martingale inequality

Journal
IEEE International Symposium on Information Theory - Proceedings
Pages
1978-1982
Date Issued
2017
Author(s)
Cheng H.-C
Hsieh M.-H.
HAO-CHUNG CHENG  
DOI
10.1109/ISIT.2017.8006875
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85034092188&doi=10.1109%2fISIT.2017.8006875&partnerID=40&md5=dc3280a1c381a9c4c2f3006505507371
https://scholars.lib.ntu.edu.tw/handle/123456789/580531
Abstract
'To be considered for the 2017 IEEE Jack Keil Wolf ISIT Student Paper Award.' We study the asymptotic behavior of the type-I error in quantum hypothesis testing when the exponent of the type-II error approaches the quantum relative entropy sufficiently slowly. Our result shows that the moderate deviation principle holds for the testing problem if the quantum relative variance is positive. Our proof strategy employs strong large deviation theory and a martingale inequality. ? 2017 IEEE.
Subjects
Asymptotic behaviors; Large deviation theory; Martingale inequalities; Moderate deviation principle; Moderate-deviations; Proof strategy; Quantum hypothesis; Quantum relative entropies; Information theory
SDGs

[SDGs]SDG10

Type
conference paper

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