Doubly minimized Petz Renyi mutual information: Properties and operational interpretation from direct exponent
Laura Burri
TL;DR
The paper advances the quantum information theory of Rényi mutual information by studying the doubly minimized Petz Rényi MI $I_\alpha^{\downarrow\downarrow}(A:B)_\rho$ for bipartite states. It establishes fundamental properties, including joint convexity of the defining optimization, additivity over product states for $\alpha$ in $[\tfrac{1}{2},2]$, minimizer uniqueness on a broad range, fixed-point characterizations, and differentiability with respect to $\alpha$, along with asymptotic optimality of universal permutation-invariant states. The central operational contribution is a direct-exponent interpretation: for $\alpha\in(\tfrac{1}{2},1)$, the direct exponent of certain binary quantum state discrimination tasks is given by a supremum over $s$ of $(1-s)/s$ times the difference between $I_s^{\downarrow\downarrow}(A:B)_\rho$ and the rate $R$. This generalizes classical results to the quantum setting and links a structural information measure to concrete error exponents, with implications for discrimination tasks and related quantum information processing.
Abstract
The doubly minimized Petz Renyi mutual information of order $α$ is defined as the minimization of the Petz divergence of order $α$ of a fixed bipartite quantum state relative to any product state. In this work, we establish several properties of this type of Renyi mutual information, including its additivity for $α\in [1/2,2]$. As an application, we show that the direct exponent of certain binary quantum state discrimination problems is determined by the doubly minimized Petz Renyi mutual information of order $α\in (1/2,1)$. This provides an operational interpretation of this type of Renyi mutual information, and generalizes a previous result for classical probability distributions to the quantum setting.
