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arxiv: 1904.07507 · v1 · pith:2WEKI7RMnew · submitted 2019-04-16 · 🪐 quant-ph

Quantum Fisher information matrix in Heisenberg XY model

classification 🪐 quant-ph
keywords estimationmatrixmodelquantumanisotropicconcernsestimatedfield
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The quantum Fisher information matrix provides us with a tool to determine the precision, in any multiparametric estimation protocol, through quantum Cram\'er-Rao bound. In this work, we study simultaneous and individual estimation strategies using the density matrix vectorization method. Two special Heisenberg $XY$ models are considered. The first one concerns the anisotropic $XY$ model in which the temperature $T$ and the anisotropic parameter $\gamma$ are estimated. The second situation concerns the isotropic $XY$ model submitted to an external magnetic field $B$ in which the temperature and the magnetic field are estimated. Our results show that the simultaneous strategy of multiple parameters is always advantageous and can provide a better precision than the individual strategy in the multiparameter estimation procedures.

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