Quick Navigation
Topics
Trapped Ion Quantum Computing
Is the large uncertainty of δCP fundamentally encoded in the neutrino quantum state?
arXiv
Authors: Michela Ignoti, Claudia Frugiuele, Matteo G. A. Paris, Marco G. Genoni
Year
2025
Paper ID
16683
Status
Preprint
Abstract Read
~2 min
Abstract Words
149
Citations
N/A
Abstract
The precise measurement of the leptonic CP-violating phase δCP remains one of the major open challenges in neutrino physics, as current experiments achieve only very limited accuracy. We address this issue through the lens of quantum estimation theory. A distinctive feature of neutrino oscillation experiments is that they cannot freely optimize the probe or measurement, since both are constrained by the production and detection of flavor eigenstates. We therefore examine whether the large uncertainty in δCP originates from intrinsic reasons, either of the neutrino quantum state or of flavor measurements, or if it instead stems from experimental limitations. By comparing quantum and classical Fisher information, we demonstrate that the limited sensitivity to δCP originates primarily from the information content of flavor measurements. Furthermore, we show that targeting the second oscillation maximum, as in the ESSνSB proposal, substantially enhances δCP information compared to experiments centered on the first maximum.
Why This Paper Matters
- This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
- It adds a 2025 reference point for readers tracking recent quantum research.
- The precise measurement of the leptonic CP-violating phase δCP remains one of the major open challenges in neutrino physics, as current experiments achieve only very limited...
Paper Tools
Become a member to use research tools
Sign in to open papers, visit source links, share, cite, compare, copy DOI links, request category corrections, and build your reading list.
Show Paper arXiv Publisher Share
Cite This Paper
Copy URL
Compare
Copy DOI Add to Reading List
Category Correction Request
Category Correction Request
Help us improve classification quality by proposing a better category. Every request is reviewed by an admin.
Sign in to submit a category correction request for this paper.
Log In to SubmitReferences & Citation Signals
Community Reactions
Quick sentiment from readers on this paper.
Score:
0
Likes: 0
Dislikes: 0
Sign in to react to this paper.
Discussion & Reviews (Moderated)
Average Rating: 0.0 / 5 (0 ratings)
No written reviews yet.