• DocumentCode
    1779719
  • Title

    Strong converse for entanglement-assisted capacity

  • Author

    Gupta, M.K. ; Wilde, Mark M.

  • Author_Institution
    Dept. of Phys. & Astron., Louisiana State Univ., Baton Rouge, LA, USA
  • fYear
    2014
  • fDate
    June 29 2014-July 4 2014
  • Firstpage
    716
  • Lastpage
    720
  • Abstract
    The fully quantum reverse Shannon theorem establishes the optimal rate of noiseless classical communication required for simulating the action of many instances of a noisy quantum channel on an arbitrary input state, while also allowing for an arbitrary amount of shared entanglement of an arbitrary form. Turning this theorem around establishes a strong converse for the entanglement-assisted classical capacity of any quantum channel. The present work proves the strong converse for entanglement-assisted capacity by a completely different approach. Namely, we exploit the recent entanglement-assisted “meta-converse” theorem of Matthews and Wehner, several properties of the recently established sandwiched Rényi relative entropy (also referred to as the quantum Rényi divergence), and the multiplicativity of completely bounded p-norms due to Devetak et al. The proof here demonstrates the extent to which the Arimoto approach can be helpful in proving strong converse theorems, it provides an operational relevance for the multiplicativity result of Devetak et al., and it adds to the growing body of evidence that the sandwiched Rényi relative entropy is the correct quantum generalization of the classical concept for all α > 1.
  • Keywords
    entropy; quantum computing; quantum entanglement; theorem proving; Arimoto approach; arbitrary input state; completely-bounded p-norm multiplicativity; entanglement-assisted capacity; entanglement-assisted meta-converse theorem; fully-quantum reverse Shannon theorem; noiseless classical communication; noisy quantum channel; operational relevance; optimal rate; quantum Rényi divergence; quantum generalization; sandwiched Rényi relative entropy; strong converse theorem proving; Channel coding; Entropy; Mutual information; Quantum entanglement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory (ISIT), 2014 IEEE International Symposium on
  • Conference_Location
    Honolulu, HI
  • Type

    conf

  • DOI
    10.1109/ISIT.2014.6874926
  • Filename
    6874926