Reversibility of distance measures of states with some focus on total variation distance
Abstract
Consider a classical system, which is in the state described by probability distribution p or q, and embed these classical informations into quantum system by a physical map , =(p) and σ=(q). Intuitively, the pair \pM,pσM\ of the distributions of the data of the measurement M on the pair \,σ\ should contain strictly less information than the pair \p,q\ provided the pair \,σ\ is non-commutative. Indeed, this statement had been shown if the information is measured by f-divergence such that f is operator convex. In the paper, the statement is extended to the case where f is strictly convex. Also, we disprove the assertion for the total variation distance p-q1, the f-divergence with f(r)=|1-r|: if \,σ\ satisfies some not very restrictive conditions, pM-pσM1 equals p-q1. Here we present sufficient condition for general case, and necessary and sufficient condition for qubit states.
Turn this paper into a lesson
ArcXiv compiles a structured reading guide from this paper's metadata: plain-English importance, contributions, prerequisite concepts, which sections to read first, flashcards, and a quiz. Grounded in the abstract, never invented.