Multiple phase estimation in quantum cloning machines

Yao Yao, Li Ge, Xing Xiao, Xiao-guang Wang, and Chang-pu Sun
Phys. Rev. A 90, 022327 – Published 25 August 2014

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 cloning machine (PQCM), and prove that PQCM indeed performs better than UQCM in terms of QFIM. We highlight that our method can be generalized to arbitrary cloning schemes where the fidelity between the single-copy input and output states is input-state independent. Furthermore, the attainability of the quantum Cramér-Rao bound is also explicitly discussed.

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  • Received 22 July 2014

DOI:https://doi.org/10.1103/PhysRevA.90.022327

©2014 American Physical Society

Authors & Affiliations

Yao Yao1,2, Li Ge1, Xing Xiao1, Xiao-guang Wang3,*, and Chang-pu Sun1,2,†

  • 1Beijing Computational Science Research Center, Beijing, 100084, China
  • 2Synergetic Innovation Center of Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, Anhui 230026, China
  • 3Zhejiang Institute of Modern Physics, Department of Physics, Zhejiang University, Hangzhou 310027, China

  • *xgwang@zimp.zju.edu.cn
  • cpsun@csrc.ac.cn

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Vol. 90, Iss. 2 — August 2014

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