2017
DOI: 10.1088/1367-2630/aa7a7b
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Super-additivity in communication of classical information through quantum channels from a quantum parameter estimation perspective

Abstract: We point out a contrasting role the entanglement plays in communication and estimation scenarios. In the first case it brings noticeable benefits at the measurement stage (output super-additivity), whereas in the latter it is the entanglement of the input probes that enables significant performance enhancement (input super-additivity). We identify a weak estimation regime where a strong connection between concepts crucial to the two fields is demonstrated; the accessible information and the Holevo quantity on … Show more

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Cited by 12 publications
(22 citation statements)
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“…The second inequality is a consequence of the fact that F is the smallest type of quantum Fisher information [33,43] so it has to be lower than the respective REQFI. The above inequality is in agreement with the results of [20], in which it was shown that for narrow continuous prior distributions, that is for distributions with small variance β = x 2 ≪ 1, in the protocol utilizing states with rank r of the Hilbert space with dimension d, the capacity can be expressed as…”
Section: Relationship With Estimation Theorysupporting
confidence: 90%
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“…The second inequality is a consequence of the fact that F is the smallest type of quantum Fisher information [33,43] so it has to be lower than the respective REQFI. The above inequality is in agreement with the results of [20], in which it was shown that for narrow continuous prior distributions, that is for distributions with small variance β = x 2 ≪ 1, in the protocol utilizing states with rank r of the Hilbert space with dimension d, the capacity can be expressed as…”
Section: Relationship With Estimation Theorysupporting
confidence: 90%
“…The quantity J θ=0 [ρ θ ] appearing in the above formula is a relative entropy quantum Fisher information (REQFI) [20,33,34] at θ = 0 for a continuously parametrized family of quantum states…”
Section: Capacity Per Unit Costmentioning
confidence: 99%
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“…Inserting equations (19) and (22) into (10), the leading-order expansion of mutual information in the cost parameter ζ is upper bounded by the following expression:…”
Section: Asymptotic Expansionmentioning
confidence: 99%
“…Suppose first that the measurement is composed only of type-Z operators. Inserting equation (27) into equation (19) and recalling thatˆ|…”
Section: Photon Information Efficiency Boundsmentioning
confidence: 99%