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
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