Quick Navigation
Topics
Quantum Algorithms
Multiple-parameter estimation in a sagnac interferometer
arXiv
Authors: Xu Yu, Hongbin Liang, Xiaoguang Wang
Year
2019
Paper ID
15000
Status
Preprint
Abstract Read
~2 min
Abstract Words
149
Citations
N/A
Abstract
We explored the general characteristics of a Sagnac interferometer in a multiparameter estimation process. We find that in the two-parameter estimation scenario, one cannot make both parameter measurement results reach the Heisenberg limit (HL) simultaneously when the input resources are maximally entangled. Only one of the parameters' uncertainty can approach the HL while the other is only scaled by the standard quantum limit (SQL). We also discussed the constraint conditions that make the quantum Cramer-Rao bound saturable. These constraint conditions would prompt one to choose proper evolution time and optimal input state. Under the constraint conditions, we find that the HL result obtained in the two parameter scenario would catch up with or even be more precise than that acquired by the single parameter measurement process in some special cases. Such general features about the Sagnac system revealed in our work may have a reference value in actual experiments.
Why This Paper Matters
- It adds a 2019 reference point for readers tracking recent quantum research.
- We explored the general characteristics of a Sagnac interferometer in a multiparameter estimation process.
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.