Quantum Fisher Information Revealing Parameter Sensitivity in Long-Baseline Neutrino Experiments
Bhavna Yadav, Amir Subba, Yu Shi

TL;DR
This paper uses Quantum Fisher Information to analyze fundamental sensitivity bounds in long-baseline neutrino experiments, revealing how different parameters influence measurement precision at various baselines and energies.
Contribution
It introduces a QFI-based framework to quantify parameter sensitivities in neutrino oscillations, highlighting distinct sensitivity patterns for key parameters.
Findings
$ heta_{23}$ and $ ext{CP}$ phase have bimodal sensitivity peaks at specific $L/E$ values.
$ ext{Mass-squared difference}$ shows a unimodal peak, indicating its role in oscillation length.
QFI values vary significantly across parameters, indicating different measurement precisions.
Abstract
Determination of the leptonic CP-violating phase , the atmospheric mixing angle , and the mass-squared difference constitutes a primary objective of current and next-generation long-baseline neutrino experiments. We employ QFI (QFI) to establish fundamental precision bounds on single-parameter estimation in three-flavor oscillations, treating the neutrino as an evolving pure quantum state. Computing QFI as a function of the baseline-to-energy ratio for benchmark parameter sets from NuFit-6.0, we find distinct sensitivity hierarchies and -dependent structures. Specifically, and exhibit bimodal QFI profiles with peaks at and , corresponding to the first and second oscillation maxima, reaching …
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Taxonomy
TopicsNeutrino Physics Research · Particle physics theoretical and experimental studies · Dark Matter and Cosmic Phenomena
