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