4.4 Article

Universal Recovery Maps and Approximate Sufficiency of Quantum Relative Entropy

期刊

ANNALES HENRI POINCARE
卷 19, 期 10, 页码 2955-2978

出版社

SPRINGER INT PUBL AG
DOI: 10.1007/s00023-018-0716-0

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资金

  1. NSF DMS [1501103]
  2. NSF-DMS [1201886]
  3. European Research Council (ERC) [258932]
  4. Swiss National Science Foundation (SNSF) via the National Centre of Competence in Research QSIT
  5. European Commission via the project RAQUEL
  6. NSF [CCF-1350397, 1714215]
  7. DARPA Quiness Program through US Army Research Office [W31P4Q-12-1-0019]
  8. EU (STREP RAQUEL)
  9. ERC (AdG IRQUAT)
  10. Spanish MINECO [FIS2013-40627-P]
  11. FEDER funds
  12. Generalitat de Catalunya CIRIT [2014-SGR-966]
  13. Division Of Mathematical Sciences
  14. Direct For Mathematical & Physical Scien [1501103] Funding Source: National Science Foundation
  15. Division Of Mathematical Sciences
  16. Direct For Mathematical & Physical Scien [1201886] Funding Source: National Science Foundation

向作者/读者索取更多资源

The data processing inequality states that the quantum relative entropy between two states. and s can never increase by applying the same quantum channel N to both states. This inequality can be strengthened with a remainder term in the form of a distance between. and the closest recovered state (R. N)(.), where R is a recovery map with the property that s = (R. N)(s). We show the existence of an explicit recovery map that is universal in the sense that it depends only on s and the quantum channel N to be reversed. This result gives an alternate, information-theoretic characterization of the conditions for approximate quantum error correction.

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