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Trapped Ion Quantum Computing
Weight-dependent and weight-independent measures of quantum incompatibility in multiparameter estimation
arXiv
Authors: Jiayu He, Gabriele Fazio, Matteo G. A. Paris
Year
2025
Paper ID
50940
Status
Preprint
Abstract Read
~2 min
Abstract Words
212
Citations
N/A
Abstract
Multiparameter quantum estimation faces a fundamental challenge due to the inherent incompatibility of optimal measurements for different parameters, a direct consequence of quantum non-commutativity. This incompatibility is quantified by the gap between the symmetric logarithmic derivative (SLD) quantum Cramér-Rao bound, which is not always attainable, and the asymptotically achievable Holevo bound. This work provides a comprehensive analysis of this gap by introducing and contrasting two scalar measures. The first is the weight-independent quantumness measure R, which captures the intrinsic incompatibility of the estimation model. The second is a tighter, weight-dependent measure T[W] which explicitly incorporates the cost matrix W assigning relative importance to different parameters. We establish a hierarchy of bounds based on these two measures and derive necessary and sufficient conditions for their saturation. Through analytical and numerical studies of tunable qubit and qutrit models with SU(2) unitary encoding, we demonstrate that the weight-dependent bound CT[W] often provides a significantly tighter approximation to the Holevo bound CH[W] than the R-dependent bound, especially in higher-dimensional systems. We also develop an approach based on CT[W] to compute the Holevo bound CH[W] analytically. Our results highlight the critical role of the weight matrix's structure in determining the precision limits of multiparameter quantum metrology.
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- This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
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- Multiparameter quantum estimation faces a fundamental challenge due to the inherent incompatibility of optimal measurements for different parameters, a direct consequence of...
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