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One-parameter class of uncertainty relations based on entropy power

Petr Jizba, Yue Ma, Anthony Hayes, and Jacob A. Dunningham
Phys. Rev. E 93, 060104(R) – Published 29 June 2016
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Abstract

We use the concept of entropy power to derive a one-parameter class of information-theoretic uncertainty relations for pairs of conjugate observables in an infinite-dimensional Hilbert space. This class constitutes an infinite tower of higher-order statistics uncertainty relations, which allows one in principle to determine the shape of the underlying information-distribution function by measuring the relevant entropy powers. We illustrate the capability of this class by discussing two examples: superpositions of vacuum and squeezed states and the Cauchy-type heavy-tailed wave function.

  • Figure
  • Received 23 March 2016

DOI:https://doi.org/10.1103/PhysRevE.93.060104

©2016 American Physical Society

Physics Subject Headings (PhySH)

Atomic, Molecular & OpticalStatistical Physics & ThermodynamicsQuantum Information, Science & Technology

Authors & Affiliations

Petr Jizba1,2,*, Yue Ma3, Anthony Hayes4, and Jacob A. Dunningham4,†

  • 1FNSPE, Czech Technical University in Prague, Břehová 7, 115 19 Praha 1, Czech Republic
  • 2ITP, Freie Universität Berlin, Arnimallee 14 D-14195 Berlin, Germany
  • 3Department of Physics, Tsinghua University, Beijing 100084, People's Republic of China
  • 4Department of Physics and Astronomy, University of Sussex, Brighton BN1 9QH, United Kingdom

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Issue

Vol. 93, Iss. 6 — June 2016

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