An all-but-one entropic uncertainty relation, and application to password-based identification

Authors
Publication date 2013
Host editors
  • K. Iwama
  • Y. Kawano
  • M. Murao
Book title Theory of Quantum Computation, Communication, and Cryptography
Book subtitle 7th Conference, TQC 2012, Tokyo, Japan, May 17-19, 2012: revised selected papers
ISBN
  • 9783642356551
ISBN (electronic)
  • 9783642356568
Series Lecture Notes in Computer Science
Event Theory of Quantum Computation, Communication, and Cryptography: 7th Conference
Pages (from-to) 29-44
Publisher Heideberg: Springer
Organisations
  • Faculty of Science (FNWI)
  • Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
Abstract
Entropic uncertainty relations are quantitative characterizations of Heisenberg’s uncertainty principle, which make use of an entropy measure to quantify uncertainty. We propose a new entropic uncertainty relation. It is the first such uncertainty relation that lower bounds the uncertainty in the measurement outcome for all but one choice for the measurement from an arbitrary (and in particular an arbitrarily large) set of possible measurements, and, at the same time, uses the min-entropy as entropy measure, rather than the Shannon entropy. This makes it especially suited for quantum cryptography.

As application, we propose a new quantum identification scheme in the bounded-quantum-storage model. It makes use of our new uncertainty relation at the core of its security proof. In contrast to the original quantum identification scheme proposed by Damgård et al. [4], our new scheme also offers some security in case the bounded-quantum-storage assumption fails to hold. Specifically, our scheme remains secure against an adversary that has unbounded storage capabilities but is restricted to (non-adaptive) single-qubit operations. The scheme by Damgård et al., on the other hand, completely breaks down under such an attack.
Document type Conference contribution
Language English
Published at https://doi.org/10.1007/978-3-642-35656-8_3
Downloads
BFGS12.pdf (Final published version)
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