Efficiency of estimators for locally asymptotically normal quantum statistical models

Fuente: arXiv
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Auteurs principaux: Fujiwara, Akio, Yamagata, Koichi
Format: Preprint
Publié: 2022
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author Fujiwara, Akio
Yamagata, Koichi
author_facet Fujiwara, Akio
Yamagata, Koichi
contents We herein establish an asymptotic representation theorem for locally asymptotically normal quantum statistical models. This theorem enables us to study the asymptotic efficiency of quantum estimators such as quantum regular estimators and quantum minimax estimators, leading to a universal tight lower bound beyond the i.i.d. assumption. This formulation complements the theory of quantum contiguity developed in the previous paper [Fujiwara and Yamagata, Bernoulli 26 (2020) 2105-2141], providing a solid foundation of the theory of weak quantum local asymptotic normality.
format Preprint
id arxiv_https___arxiv_org_abs_2209_00832
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Efficiency of estimators for locally asymptotically normal quantum statistical models
Fujiwara, Akio
Yamagata, Koichi
Quantum Physics
Statistics Theory
We herein establish an asymptotic representation theorem for locally asymptotically normal quantum statistical models. This theorem enables us to study the asymptotic efficiency of quantum estimators such as quantum regular estimators and quantum minimax estimators, leading to a universal tight lower bound beyond the i.i.d. assumption. This formulation complements the theory of quantum contiguity developed in the previous paper [Fujiwara and Yamagata, Bernoulli 26 (2020) 2105-2141], providing a solid foundation of the theory of weak quantum local asymptotic normality.
title Efficiency of estimators for locally asymptotically normal quantum statistical models
topic Quantum Physics
Statistics Theory
url https://arxiv.org/abs/2209.00832