Multiple phase estimation in quantum cloning machines
Yao Yao, Li Ge, Xing Xiao, Xiao-guang Wang, and Chang-pu Sun

TL;DR
This paper analyzes the effectiveness of quantum cloning machines for multiple phase estimation using quantum Fisher information, demonstrating that phase-covariant cloning outperforms universal cloning in this context.
Contribution
It introduces a QFIM-based approach to evaluate quantum cloning machines for phase estimation, providing analytical formulas and comparing performance of UQCM and PQCM.
Findings
PQCM outperforms UQCM in QFIM measures
Analytical formulas for QFIM in d-dimensional states
Method applicable to various cloning schemes
Abstract
Since the initial discovery of the Wootters-Zurek no-cloning theorem, a wide variety of quantum cloning machines have been proposed aiming at imperfect but optimal cloning of quantum states within its own context. Remarkably, most previous studies have employed the Bures fidelity or the Hilbert-Schmidt norm as the figure of merit to characterize the quality of the corresponding cloning scenarios. However, in many situations, what we truly care about is the relevant information about certain parameters encoded in quantum states. In this work, we investigate the multiple phase estimation problem in the framework of quantum cloning machines, from the perspective of quantum Fisher information matrix (QFIM). Focusing on the generalized d-dimensional equatorial states, we obtain the analytical formulas of QFIM for both universal quantum cloning machine (UQCM) and phase-covariant quantum…
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