Conditional uncertainty principle

Gilad Gour, Andrzej Grudka, Michał Horodecki, Waldemar Kłobus, Justyna Łodyga, Varun Narasimhachar

Research output: Contribution to journalArticlepeer-review

Abstract

We develop a general operational framework that formalizes the concept of conditional uncertainty in a measure-independent fashion. Our formalism is built upon a mathematical relation which we call conditional majorization. We define conditional majorization and, for the case of classical memory, we provide its thorough characterization in terms of monotones, i.e., functions that preserve the partial order under conditional majorization. We demonstrate the application of this framework by deriving two types of memory-assisted uncertainty relations, (1) a monotone-based conditional uncertainty relation and (2) a universal measure-independent conditional uncertainty relation, both of which set a lower bound on the minimal uncertainty that Bob has about Alice's pair of incompatible measurements, conditioned on arbitrary measurement that Bob makes on his own system. We next compare the obtained relations with their existing entropic counterparts and find that they are at least independent.

Original languageEnglish
Article number042130
JournalPhysical Review A
Volume97
Issue number4
DOIs
StatePublished - 30 Apr 2018
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics

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