4.5 Article

The Semiring of Dichotomies and Asymptotic Relative Submajorization

Journal

IEEE TRANSACTIONS ON INFORMATION THEORY
Volume 68, Issue 1, Pages 311-321

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIT.2021.3117440

Keywords

Testing; Tensors; Entropy; Technological innovation; Quantum channels; Optimization; Information theory; Relative submajorization; quantum resource theory; sandwiched Renyi divergence; strong converse exponent

Funding

  1. New National Excellence Program of the Ministry for Innovation and Technology [UNKP-19-4]
  2. Janos Bolyai Research Scholarship of the Hungarian Academy of Sciences
  3. National Research, Development and Innovation Fund of Hungary within the Quantum Technology National Excellence Program [2017-1.2.1-NKP-2017-00001]
  4. VILLUM FONDEN [25452]
  5. QMATH Centre of Excellence [10059]
  6. [K124152]
  7. [KH129601]

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In this study, we investigate quantum dichotomies and the resource theory of asymmetric distinguishability using a generalization of Strassen's theorem on preordered semirings. We find that an asymptotic variant of relative submajorization, defined on unnormalized dichotomies, can be characterized by real-valued monotones that are multiplicative under the tensor product and additive under the direct sum. These strong constraints allow us to classify and explicitly describe all such monotones, leading to a rate formula expressed as an optimization involving sandwiched Renyi divergences. As an application, we provide a new derivation of the strong converse error exponent in quantum hypothesis testing.
We study quantum dichotomies and the resource theory of asymmetric distinguishability using a generalization of Strassen's theorem on preordered semirings. We find that an asymptotic variant of relative submajorization, defined on unnormalized dichotomies, is characterized by real-valued monotones that are multiplicative under the tensor product and additive under the direct sum. These strong constraints allow us to classify and explicitly describe all such monotones, leading to a rate formula expressed as an optimization involving sandwiched Renyi divergences. As an application we give a new derivation of the strong converse error exponent in quantum hypothesis testing.

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