2019
DOI: 10.1088/1751-8121/aafff4
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The entropy power inequality with quantum conditioning

Abstract: The conditional Entropy Power Inequality is a fundamental inequality in information theory, stating that the conditional entropy of the sum of two conditionally independent vector-valued random variables each with an assigned conditional entropy is minimum when the random variables are Gaussian. We prove the conditional Entropy Power Inequality in the scenario where the conditioning system is quantum. The proof is based on the heat semigroup and on a generalization of the Stam inequality in the presence of qua… Show more

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Cited by 8 publications
(6 citation statements)
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References 44 publications
(99 reference statements)
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“…The main idea of the proof of ( 35) is perturbing the state with the quantum heat semigroup. The same idea has been crucial in the proofs of several quantum versions of the Entropy Power Inequality [43][44][45][46][47][48][49][50][51][52][53][54], of which (35) can be considered a generalization. Let Ḡ achieve the maximum in (35) (if the maximum is not achieved, the result can be obtained with a limiting argument).…”
Section: Generalized Strong Subadditivitymentioning
confidence: 96%
“…The main idea of the proof of ( 35) is perturbing the state with the quantum heat semigroup. The same idea has been crucial in the proofs of several quantum versions of the Entropy Power Inequality [43][44][45][46][47][48][49][50][51][52][53][54], of which (35) can be considered a generalization. Let Ḡ achieve the maximum in (35) (if the maximum is not achieved, the result can be obtained with a limiting argument).…”
Section: Generalized Strong Subadditivitymentioning
confidence: 96%
“…In passing, it should be noted that the form of the Rényi EP expressed in ( 13 ) is not universally accepted version. In a number of works, it is defined merely as an exponent of RE, see, e.g., [ 75 , 76 ]. Our motivation for the form ( 13 ) is twofold: first, it has a clear interpretation in terms of variances of Gaussian distributions and, second, it leads to simpler formulas, cf.…”
Section: Rényi Entropy Based Estimation Theory and Rényi Entropy Pmentioning
confidence: 99%
“…In a number of works it is defined merely as an exponent of RE, see, e.g. [69,70]. Our motivation for the form ( 13) is twofold: first, it has a clear interpretation in terms of variances of Gaussian distributions and second, it leads to simpler formulas, cf.…”
Section: Rényi's Entropy Power and Generalized Isoperimetric Inequalitymentioning
confidence: 99%
“…Here, the history of quantum EPI, which is a quantum analog of classical EPI, is briefly summarized. The quantum EPI on bosonic Gaussian systems was first derived by König and Smith [10], and it was generalized to bosonic Gaussian [11,37] and discrete systems [38] as well as conditional cases [39][40][41][42]. While the classical capacity is additive, quantum channel capacities are generally nonadditive; hence, quantum EPIs have the potential power of finding (tight upper bounds) realistic capacities on quantum channels.…”
Section: Introductionmentioning
confidence: 99%