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