2017
DOI: 10.1063/1.4987135
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Tight uniform continuity bounds for the quantum conditional mutual information, for the Holevo quantity, and for capacities of quantum channels

Abstract: We start with Fannes' type and Winter's type tight continuity bounds for the quantum conditional mutual information and their specifications for states of special types.

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Cited by 53 publications
(81 citation statements)
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References 45 publications
(190 reference statements)
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“…Quantitative continuity analysis of characteristics of quantum systems and channels is important for different tasks of quantum information theory. 1 This is confirmed by a number of works devoted to this question [1,2,3,4,14,20,26,34,37,39,40,43,48,50].…”
Section: Introductionmentioning
confidence: 84%
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“…Quantitative continuity analysis of characteristics of quantum systems and channels is important for different tasks of quantum information theory. 1 This is confirmed by a number of works devoted to this question [1,2,3,4,14,20,26,34,37,39,40,43,48,50].…”
Section: Introductionmentioning
confidence: 84%
“…Asymptotically tight continuity bounds for the entropy and for the conditional entropy under the energy constraint have been obtained by Winter [50]. Asymptotically tight continuity bounds for the QCMI under the energy constraint on one of the subsystems has been obtained in [37] by using Winter's technique. The aim of this section is to show that our technique also gives asymptotically tight continuity bounds for these quantities without any claim of their superiority.…”
Section: Basic Examplesmentioning
confidence: 99%
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“…For this purpose we shall make explicit use of the the continuity argument of Refs. [27,28] which allows one to connect the capacities values of two channels via their relative distance measured in terms of the diamond norm metric [29,30]. While our derivation in many respects mimics the one presented by Bravyi et al, we stress that in order to account for all possible encoding strategy, we have explicitly to deal with the dimension of the ancillary memory element Q Alice can use in the process.…”
Section: Introductionmentioning
confidence: 99%