Autoparallelity of quantum statistical manifolds in light of quantum estimation theory

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Authors: Hiroshi Nagaoka, Akio Fujiwara
Cited by: 0

Abstract

In this paper we study the autoparallelity w.r.t. the e-connection for an information-geometric structure called the SLD structure, which consists of a Riemannian metric and mutually dual e- and m-connections, induced on the manifold of strictly positive density operators. Unlike the classical information geometry, the e-connection has non-vanishing torsion, which brings various mathematical difficulties. The notion of e-autoparallel submanifolds is regarded as a quantum version of exponential families in classical statistics, which is known to be characterized as statistical models having efficient estimators (unbiased estimators uniformly achieving the equality in the Cramér-Rao inequality). As quantum extensions of this classical result, we present two different forms of estimation-theoretical characterizations of the e-autoparallel submanifolds. We also give several results on the e-autoparallelity, some of which are valid for the autoparallelity w.r.t. an affine connection in a more general geometric situation.

Fields of Study & Subjects

Statistical Mechanics and Entropy Advanced Statistical Methods and Models Bayesian Modeling and Causal Inference

Publication details

Journal / source
Information Geometry
Publication date
5 September 2026
Language
EN