Additivity of quantum relative entropies as a single-copy criterion
Salman Beigi, Roberto Rubboli, Marco Tomamichel

TL;DR
This paper identifies conditions under which quantum relative entropies are additive at the single-copy level, enabling efficient characterization of various quantum information tasks without regularization.
Contribution
It establishes necessary and sufficient conditions for the additivity of quantum relative entropies, simplifying the analysis of several quantum information problems.
Findings
Regularization is unnecessary if a single-copy optimizer meets certain criteria.
Derived the Stein, Chernoff, and Hoeffding exponents for key quantum hypothesis testing problems.
Provided partial results on the strong converse exponent for these tasks.
Abstract
The fundamental goal of information theory is to characterize complex operational tasks using efficiently computable information quantities, Shannon's capacity formula being the prime example of this. However, many tasks in quantum information can only be characterized by regularized entropic measures that are often not known to be computable and for which efficient approximations are scarce. It is thus of fundamental importance to understand when regularization is not needed, opening the door to an efficiently computable characterization based on additive quantities. Here, we demonstrate that for a large class of problems, the question of whether regularization is needed or not can be determined at the single-copy level. Specifically, we demonstrate that regularization of the Umegaki relative entropy, along with related quantities such as the Petz and sandwiched relative entropies, is…
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Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · Statistical Mechanics and Entropy · Quantum Mechanics and Applications
