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The Operational Meaning of Min- and Max-Entropy

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Konig, Robert, Renner, Renato, Schaffner, Christian·2009·IEEE Transactions on Information Theory

Abstract

In this paper, we show that the conditional min-entropyHmin(A|B) of a bipartite staterhoABis directly related to the maximum achievable overlap with a maximally entangled state if only local actions on theB-part ofrhoABare allowed. In the special case whereAis classical, this overlap corresponds to the probability of guessingAgivenB. In a similar vein, we connect the conditional max-entropyHmax(A|B) to the maximum fidelity ofrhoABwith a product state that is completely mixed onA. In the case whereAis classical, this corresponds to the security ofAwhen used as a secret key in the presence of an adversary holdingB. Because min- and max-entropies are known to characterize information-processing tasks such as randomness extraction and state merging, our results establish a direct connection between these tasks and basic operational problems. For example, they imply that the (logarithm of the) probability of guessingAgivenBis a lower bound on the number of uniform secret bits that can be extracted fromArelative to an adversary holdingB.

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Metadata

Authors
Konig, R., Renner, R., & Schaffner, C.
Venue
IEEE Transactions on Information Theory
Published
2009-09
Volume
55
Issue
9
Pages
4337-4347
ISSN
0018-9448 (ISSN-L)
OpenAlex
W2164253138
Cited by
659
References
21
FWCI
33.25
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The Operational Meaning of Min- and Max-Entropy. https://app.cochat.ai/papers/10.1109/tit.2009.2025545
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Konig, R., Renner, R., & Schaffner, C. (2009). The Operational Meaning of Min- and Max-Entropy. IEEE Transactions on Information Theory. https://doi.org/10.1109/tit.2009.2025545

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