• DocumentCode
    1502229
  • Title

    Cryptographic distinguishability measures for quantum-mechanical states

  • Author

    Fuchs, Christopher A. ; Van De Graaf, Jeroen

  • Author_Institution
    Bridge Lab. of Phys., California Inst. of Technol., Pasadena, CA, USA
  • Volume
    45
  • Issue
    4
  • fYear
    1999
  • fDate
    5/1/1999 12:00:00 AM
  • Firstpage
    1216
  • Lastpage
    1227
  • Abstract
    This paper, mostly expository in nature, surveys four measures of distinguishability for quantum-mechanical states. This is done from the point of view of the cryptographer with a particular eye on applications in quantum cryptography. Each of the measures considered is rooted in an analogous classical measure of distinguishability for probability distributions: namely, the probability of an identification error, the Kolmogorov distance, the Bhattacharyya coefficient, and the Shannon (1948) distinguishability (as defined through mutual information). These measures have a long history of use in statistical pattern recognition and classical cryptography. We obtain several inequalities that relate the quantum distinguishability measures to each other, one of which may be crucial for proving the security of quantum cryptographic key distribution. In another vein, these measures and their connecting inequalities are used to define a single notion of cryptographic exponential indistinguishability for two families of quantum states. This is a tool that may prove useful in the analysis of various quantum-cryptographic protocols
  • Keywords
    pattern recognition; probability; protocols; quantum cryptography; statistical analysis; Bhattacharyya coefficient; Kolmogorov distance; Shannon distinguishability; cryptographic distinguishability measures; cryptographic exponential indistinguishability; cryptographic key distribution; identification error probability; inequalities; mutual information; probability distributions; quantum cryptography; quantum states; quantum-cryptographic protocols; quantum-mechanical states; statistical pattern recognition; Cryptographic protocols; Cryptography; History; Information security; Joining processes; Mutual information; Pattern recognition; Probability distribution; Quantum computing; Veins;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.761271
  • Filename
    761271