• 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