Quantum estimation in neutrino oscillations
Autor: | Marcos Sampaio, Adalberto D. Varizi, Edson C. M. Nogueira, Gustavo de Souza |
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Rok vydání: | 2017 |
Předmět: |
Physics
Quantum Physics Particle physics Physics and Astronomy (miscellaneous) 010308 nuclear & particles physics Estimation theory Physics beyond the Standard Model FOS: Physical sciences Quantum entanglement 01 natural sciences 0103 physical sciences Measurements of neutrino speed Sensitivity (control systems) Neutrino Quantum Physics (quant-ph) 010306 general physics Neutrino oscillation Quantum |
Zdroj: | International Journal of Quantum Information. 15:1750045 |
ISSN: | 1793-6918 0219-7499 |
DOI: | 10.1142/s0219749917500459 |
Popis: | Neutrino oscillations are at the forefront of advances in Physics beyond the Standard Model. Increasing accuracy in measurements of the neutrino mixing matrix is an important challenge in current experiments. It depends on parameters that do not directly correspond to observables of the neutrino system. This type of estimation problem is handled by Quantum Estimation Theory (QET) via the Fisher Information (FI) and the Quantum Fisher Information (QFI). In this work, we analyze two-flavor neutrino oscillations within the framework of QET. We compute the QFI for the mixing angle $\theta$ and show that mass measurements are the ones that achieve optimal precision. We also study the FI associated with flavor measurements and show that they are optimized at specific neutrino times-of-flight. Therefore, although the usual population measurement does not realize the precision limit set by the QFI, it can in principle be implemented with the best possible sensitivity to $\theta $. We study how these quantifiers relate to the single-particle, mode entanglement. We demonstrate that this form of entanglement does not enhance neither of them. In particular, this shows that in single-particle settings, entanglement is not directly connected with the optimal precision in metrological tasks. Comment: v2 contains additional text that clarify arguments in the previous version, results unchanged. Shorter abstract, added references |
Databáze: | OpenAIRE |
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