English

Autoparallelity of Quantum Statistical Manifolds in Light of Quantum Estimation Theory

Quantum Physics 2025-10-07 v2 Differential Geometry

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 Cramer-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 geometrical situation.

Keywords

Cite

@article{arxiv.2307.03431,
  title  = {Autoparallelity of Quantum Statistical Manifolds in Light of Quantum Estimation Theory},
  author = {Hiroshi Nagaoka and Akio Fujiwara},
  journal= {arXiv preprint arXiv:2307.03431},
  year   = {2025}
}

Comments

In this revision, the title has been changed from "Autoparallelity of Quantum Statistical Manifolds in the Light of Quantum Estimation Theory" to "Autoparallelity of Quantum Statistical Manifolds in Light of Quantum Estimation Theory". In addition, many minor edits and modifications have been made, primarily to improve readability