Entanglement detection with scrambled data

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  • University of Siegen
  • National University of Singapore
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Original languageEnglish
Article number062339
JournalPhysical Review A
Volume99
Issue number6
Publication statusPublished - 27 Jun 2019

Abstract

In the usual entanglement detection scenario the possible measurements and the corresponding data are assumed to be fully characterized. We consider the situation where the measurements are known, but the data is scrambled, meaning the assignment of the probabilities to the measurement outcomes is unknown. We investigate in detail the two-qubit scenario with local measurements in two mutually unbiased bases. First, we discuss the use of entropies to detect entanglement from scrambled data, showing that Tsallis and Rényi entropies can detect entanglement in our scenario, while the Shannon entropy cannot. Then, we introduce and discuss scrambling-invariant families of entanglement witnesses. Finally, we show that the set of nondetectable states in our scenario is nonconvex and therefore in general hard to characterize.

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Entanglement detection with scrambled data. / Simnacher, Timo; Wyderka, Nikolai; Schwonnek, René et al.
In: Physical Review A, Vol. 99, No. 6, 062339, 27.06.2019.

Research output: Contribution to journalArticleResearchpeer review

Simnacher T, Wyderka N, Schwonnek R, Gühne O. Entanglement detection with scrambled data. Physical Review A. 2019 Jun 27;99(6):062339. doi: 10.48550/arXiv.1901.07946, 10.1103/PhysRevA.99.062339
Simnacher, Timo ; Wyderka, Nikolai ; Schwonnek, René et al. / Entanglement detection with scrambled data. In: Physical Review A. 2019 ; Vol. 99, No. 6.
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