Multiparameter simultaneous optimal estimation with an SU(2) coding unitary evolution
Yu Yang, Shihao Ru, Min An, Yunlong Wang, Feiran Wang, Pei Zhang and, Fuli Li

TL;DR
This paper investigates how quantum control can enhance the simultaneous estimation of multiple parameters in $SU(2)$ dynamics, revealing conditions under which control improves precision and proposing strategies to optimize multiparameter quantum estimation.
Contribution
The work introduces a novel method using nested cross-products to analyze control effects on $SU(2)$ parameter estimation and identifies conditions where control enhances or loses its advantage.
Findings
Quantum control benefits depend on the angle $oldsymbol{ extalpha}_oldsymbol{ extell}$ between $oldsymbol{X}$ and $oldsymbol{ abla}_oldsymbol{ extell} oldsymbol{X}$.
Maximum control enhancement occurs when $oldsymbol{ extalpha}_oldsymbol{ extell}=rac{oldsymbol{ extpi}}{2}$.
Using entangled probes and ancillary channels can remove restrictions on simultaneous parameter estimation.
Abstract
In a ubiquitous dynamics, achieving the simultaneous optimal estimation of multiple parameters is significant but difficult. Using quantum control to optimize this coding unitary evolution is one of solutions. We propose a method, characterized by the nested cross-products of the coefficient vector of generators and its partial derivative , to investigate the control-enhanced quantum multiparameter estimation. Our work reveals that quantum control is not always functional in improving the estimation precision, which depends on the characterization of an dynamics with respect to the objective parameter. This characterization is quantified by the angle between and . For an dynamics featured by , the promotion of the estimation precision can…
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