DocumentCode
639876
Title
On simultaneous min-entropy smoothing
Author
Drescher, Lukas ; Fawzi, Omar
Author_Institution
Inst. for Theor. Phys., ETH Zuerich, Zuerich, Switzerland
fYear
2013
fDate
7-12 July 2013
Firstpage
161
Lastpage
165
Abstract
In the context of network information theory, one often needs a multiparty probability distribution to be typical in several ways simultaneously. When considering quantum states instead of classical ones, it is in general difficult to prove the existence of a state that is jointly typical. Such a difficulty was recently emphasized and conjectures on the existence of such states were formulated. In this paper, we consider a one-shot multiparty typicality conjecture. The question can then be stated easily: is it possible to smooth the largest eigenvalues of all the marginals of a multipartite state ρ simultaneously while staying close to ρ? We prove the answer is yes whenever the marginals of the state commute. In the general quantum case, we prove that simultaneous smoothing is possible if the number of parties is two or more generally if the marginals to optimize satisfy some non-overlap property.
Keywords
eigenvalues and eigenfunctions; entropy; error statistics; probability; smoothing methods; eigenvalues; general quantum case; marginals; min-entropy; multipartite state; multiparty probability distribution; network information theory; nonoverlap property; one-shot multiparty typicality conjecture; quantum states; simultaneous smoothing; Context; Eigenvalues and eigenfunctions; Information theory; Probability distribution; Quantum mechanics; Silicon; Smoothing methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory Proceedings (ISIT), 2013 IEEE International Symposium on
Conference_Location
Istanbul
ISSN
2157-8095
Type
conf
DOI
10.1109/ISIT.2013.6620208
Filename
6620208
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