Randomization theorems for quantum channels

Abstract

The classical randomization criterion is an important result of statistical decision theory. Recently, a quantum analogue has been proposed, giving equivalent conditions for two sets of quantum states, ensuring existence of a quantum channel mapping one set close to the other, in $L_1$-distance. In the present paper, we extend these concepts in several ways. First, sets of states are replaced by channels and randomization is performed by either post- or pre-composition with another channel. The $L_1$-distance is replaced by the diamond norm. Secondly, the maps are not required to be completely positive, but positivity is given by an admissible family of convex cones. It is shown that the randomization theorems, generalizing both quantum and classical randomization criteria, can be proved in the framework of base section norms, including the diamond norm and its dual. The theory of such norms is developed in the Appendix.

37 pages

References in corpus (5)

• Transforming quantum operations: quantum supermaps
• Clean Positive Operator Valued Measures
• Process POVM: A mathematical framework for the description of process tomography experiments
• Extending quantum operations
• The Quantum Blackwell Theorem and Minimum Error State Discrimination

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• On the condition of conversion of classical probability distribution families into quantum families