aiqbench analysis
This paper advances the mathematical foundations of quantum information theory by establishing recovery theorems for Rényi divergences under weaker positivity conditions than previously required. By characterizing equality in the data processing inequality for von Neumann algebras, the work provides rigorous tools essential for analyzing quantum channel capacities and error correction protocols.
Sufficient positive maps between von Neumann algebras: R\'enyi divergences
arXiv:2608.28510v1 Announce Type: new Abstract: We prove recovery theorems for $\alpha$-$z$ R\'enyi divergences under normal unital positive maps between von Neumann algebras. Previous results in this setting required 2-positivity, while recent finite dimensional work showed that this assumption can be relaxed to mere positivity. Our proof uses sufficiency for JW*-subalgebras and $L^p$-spaces over them to characterize equality in the data processing inequality. As a further application of our methods, we solve a problem discussed by Haagerup and Stormer: Every conditional expectation of a von Neumann algebra onto a JW*-subalgebra factors through a conditional expectation onto the generated von Neumann subalgebra.
Abstract:We prove recovery theorems for $\alpha$-$z$ Rényi divergences under normal unital positive maps between von Neumann algebras. Previous results in this setting required 2-positivity, while recent finite dimensional work showed that this assumption can be relaxed to mere positivity. Our proof uses sufficiency for JW*-subalgebras and $L^p$-spaces over them to characterize equality in the data processing inequality. As a further application of our methods, we solve a problem discussed by Haagerup and Stormer: Every conditional expectation of a von Neumann algebra onto a JW*-subalgebra factors through a conditional expectation onto the generated von Neumann subalgebra.
Quantum Physics (quant-ph); Operator Algebras (math.OA)
arXiv:2608.28510 [quant-ph]
(or arXiv:2608.28510v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2608.28510 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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Full text under the publisher's open licence · 192 words
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