A Mirror-Descent Algorithm for Computing the Petz-Rényi Capacity of Classical-Quantum Channels
By: Yu-Hong Lai, Hao-Chung Cheng
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.
Similar Papers
Algorithms for Computing the Petz-Augustin Capacity
Information Theory
Improves how we send secret messages with quantum computers.
Strong converse exponent of channel interconversion
Quantum Physics
Makes communication more reliable with less noise.
Capacities of highly Markovian divisible quantum channels
Quantum Physics
Makes quantum computers send secret messages reliably.