Quantum Sufficiency for Self-Adjoint Statistical Models via Likelihood-Type Operators on Real $*$-Subalgebras and Real Jordan Algebras
Koichi Yamagata

TL;DR
This paper develops a unified framework for quantum sufficiency using real *-subalgebras and Jordan algebras, extending traditional models to include derivatives of states and degenerate references.
Contribution
It introduces a novel theory of quantum sufficiency on real algebraic structures, generalizing classical and quantum models with new likelihood-type operators.
Findings
Characterizes minimal sufficient real *-subalgebras via likelihood ratios and modular invariance.
Establishes correspondences between types of sufficient subalgebras and positive maps.
Provides Koashi-Imoto type decompositions for these structures.
Abstract
We develop a theory of quantum sufficiency on real *-subalgebras and real Jordan algebras. In contrast to the conventional formulation, which is based on families of states, complex completely positive coarse-grainings, and Radon-Nikodym cocycles associated with faithful reference states, our framework allows models consisting of general self-adjoint operators, including derivatives of states. Within this framework, square-root likelihood ratios and symmetric logarithmic derivatives arise naturally as fundamental self-adjoint likelihood-type objects. This makes it possible to treat ordinary quantum statistical models and local quantum statistical structures within a unified setting. We introduce sufficient real positive maps and show that sufficient complex *-subalgebras, sufficient real *-subalgebras, and sufficient real Jordan algebras correspond respectively to complex completely…
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