A Mirror-Descent Algorithm for Computing the Petz-Rényi Capacity of Classical-Quantum Channels

Fuente: arXiv
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Auteurs principaux: Lai, Yu-Hong, Cheng, Hao-Chung
Format: Preprint
Publié: 2026
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author Lai, Yu-Hong
Cheng, Hao-Chung
author_facet Lai, Yu-Hong
Cheng, Hao-Chung
contents We study the computation of the $α$-Rényi capacity of a classical-quantum (c-q) channel for $α\in(0,1)$. We propose an exponentiated-gradient (mirror descent) iteration that generalizes the Blahut-Arimoto algorithm. Our analysis establishes relative smoothness with respect to the entropy geometry, guaranteeing a global sublinear convergence of the objective values. Furthermore, under a natural tangent-space nondegeneracy condition (and a mild spectral lower bound in one regime), we prove local linear (geometric) convergence in Kullback-Leibler divergence on a truncated probability simplex, with an explicit contraction factor once the local curvature constants are bounded.
format Preprint
id arxiv_https___arxiv_org_abs_2601_10558
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle A Mirror-Descent Algorithm for Computing the Petz-Rényi Capacity of Classical-Quantum Channels
Lai, Yu-Hong
Cheng, Hao-Chung
Quantum Physics
Information Theory
Optimization and Control
We study the computation of the $α$-Rényi capacity of a classical-quantum (c-q) channel for $α\in(0,1)$. We propose an exponentiated-gradient (mirror descent) iteration that generalizes the Blahut-Arimoto algorithm. Our analysis establishes relative smoothness with respect to the entropy geometry, guaranteeing a global sublinear convergence of the objective values. Furthermore, under a natural tangent-space nondegeneracy condition (and a mild spectral lower bound in one regime), we prove local linear (geometric) convergence in Kullback-Leibler divergence on a truncated probability simplex, with an explicit contraction factor once the local curvature constants are bounded.
title A Mirror-Descent Algorithm for Computing the Petz-Rényi Capacity of Classical-Quantum Channels
topic Quantum Physics
Information Theory
Optimization and Control
url https://arxiv.org/abs/2601.10558