Multiple phase estimation for arbitrary pure states under white noise
Yao Yao, Li Ge, Xing Xiao, Xiaoguang Wang, C. P. Sun

TL;DR
This paper analyzes the impact of white noise on multiple phase estimation for pure quantum states, providing explicit formulas for quantum Fisher information and confirming the attainability of the quantum Cramér-Rao bound.
Contribution
It derives explicit expressions for quantum Fisher information and demonstrates the attainability of the quantum Cramér-Rao bound under white noise for arbitrary pure states.
Findings
Explicit formula for quantum Fisher information matrix (QFIM) under white noise.
Confirmation that the quantum Cramér-Rao bound (QCRB) is attainable.
Clarification of optimal estimators in noisy quantum metrology.
Abstract
In any realistic quantum metrology scenarios, the ultimate precision in the estimation of parameters is limited not only by the so-called Heisenberg scaling, but also the environmental noise encountered by the underlying system. In the context of quantum estimation theory, it is of great significance to carefully evaluate the impact of a specific type of noise on the corresponding quantum Fisher information (QFI) or quantum Fisher information matrix (QFIM). Here we investigate the multiple phase estimation problem for a natural parametrization of arbitrary pure states under white noise. We obtain the explicit expression of the symmetric logarithmic derivative (SLD) and hence the analytical formula of QFIM. Moreover, the attainability of the quantum Cram\'{e}r-Rao bound (QCRB) is confirmed by the commutability of SLDs and the optimal estimators are elucidated for the experimental…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
