Two quantum analogues of Fisher information from a large deviation viewpoint of quantum estimation
classification
🪐 quant-ph
keywords
fisherinformationquantumanaloguesbounddeviationestimationgives
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We discuss two quantum analogues of Fisher information, symmetric logarithmic derivative (SLD) Fisher information and Kubo-Mori-Bogoljubov (KMB) Fisher information from a large deviation viewpoint of quantum estimation and prove that the former gives the true bound and the latter gives the bound of consistent superefficient estimators. In another comparison, it is shown that the difference between them is characterized by the change of the order of limits.
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