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

Read full text
Authors: Yu‐Hong Lai, Hao-Chung Cheng
Cited by: 1
References: 14

Abstract

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.

Fields of Study & Subjects

Wireless Communication Security Techniques Stochastic Gradient Optimization Techniques Quantum Information and Cryptography

Publication details

Journal / source
2026 IEEE International Symposium on Information Theory (ISIT)
Publisher
IEEE
Pages
1–6
Publication date
1 June 2026