Issue |
EPL
Volume 112, Number 2, October 2015
|
|
---|---|---|
Article Number | 20007 | |
Number of page(s) | 6 | |
Section | General | |
DOI | https://doi.org/10.1209/0295-5075/112/20007 | |
Published online | 16 November 2015 |
Flavor entanglement in neutrino oscillations in the wave packet description
1 Dipartimento di Fisica, Università di Salerno - Via Giovanni Paolo II, 132, I-84084 Fisciano (SA), Italy
2 INFN Sezione di Napoli, Gruppo collegato di Salerno - Salerno, Italy
3 Dipartimento di Ingegneria Industriale, Università di Salerno - Via Giovanni Paolo II, 132, I-84084 Fisciano (SA), Italy
4 Liceo Statale P.E. Imbriani - Via Pescatori 155, I-83100 Avellino, Italy
5 CNISM Unità di Salerno - I-84084 Fisciano (SA), Italy
Received: 29 July 2015
Accepted: 26 October 2015
The wave packet approach to neutrino oscillations provides an enlightening description of quantum decoherence induced, during propagation, by localization effects. Within this approach, we show that a deeper insight into the dynamical aspects of particle mixing can be obtained if one investigates the behavior of quantum correlations associated to flavor oscillations. By identifying the neutrino three-flavor modes with (suitably defined) three-qubit modes, the exploitation of tools of quantum information theory for mixed states allows a detailed analysis of the dynamical behavior of flavor entanglement during free propagation. This provides further elements leading to a more complete understanding of the phenomenon of neutrino oscillations, and a basis for possible applicative implementations. The analysis is carried out by studying the distribution of the flavor entanglement; to this aim, we perform combined investigations of the behaviors of the two-flavor concurrence and of the logarithmic negativities associated with specific bipartitions of the three flavors.
PACS: 03.65.Ud – Entanglement and quantum nonlocality (e.g. EPR paradox, Bell's inequalities, GHZ states, etc.) / 14.60.Pq – Neutrino mass and mixing / 03.65.Yz – Decoherence; open systems; quantum statistical methods
© EPLA, 2015
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