• DocumentCode
    2345980
  • Title

    Strengths and weaknesses of quantum fingerprinting

  • Author

    Gavinsky, Dmitry ; Kempe, Julia ; De Wolf, Ronald

  • Author_Institution
    Calgary Univ., Alta.
  • fYear
    0
  • fDate
    0-0 0
  • Lastpage
    298
  • Abstract
    We study the power of quantum fingerprints in the simultaneous message passing (SMP) setting of communication complexity. Yao recently showed how to simulate, with exponential overhead, classical shared-randomness SMP protocols by means of quantum SMP protocols without shared randomness (Qpar-protocols). Our first result is to extend Yao´s simulation to the strongest possible model: every many-round quantum protocol with unlimited shared entanglement can be simulated, with exponential overhead, by Qpar-protocols. We apply our technique to obtain an efficient Qpar-protocol for a function which cannot be efficiently solved through more restricted simulations. Second, we tightly characterize the power of the quantum fingerprinting technique by making a connection to arrangements of homogeneous halfspaces with maximal margin. These arrangements have been well studied in computational learning theory, and we use some strong results obtained in this area to exhibit weaknesses of quantum fingerprinting. In particular, this implies that for almost all functions, quantum fingerprinting protocols are exponentially worse than classical deterministic SMP protocols
  • Keywords
    communication complexity; message passing; protocols; quantum communication; communication complexity; computational learning theory; exponential overhead; quantum fingerprinting protocol; shared entanglement; shared randomness; simultaneous message passing; Complexity theory; Computational modeling; Contracts; Costs; Fingerprint recognition; Message passing; Protocols; Quantum computing; Quantum entanglement; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Complexity, 2006. CCC 2006. Twenty-First Annual IEEE Conference on
  • Conference_Location
    Prague
  • ISSN
    1093-0159
  • Print_ISBN
    0-7695-2596-2
  • Type

    conf

  • DOI
    10.1109/CCC.2006.39
  • Filename
    1663745