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Probabilistic Resumable Quantum Teleportation of a Two-Qubit Entangled State.
Wang, Zhan-Yun; Gou, Yi-Tao; Hou, Jin-Xing; Cao, Li-Ke; Wang, Xiao-Hui.
Afiliação
  • Wang ZY; School of Electronic Engineering, Xi'an University of Posts and Telecommunications, Xi'an 710121, China.
  • Gou YT; School of Physics, Northwest University, Xi'an 710127, China.
  • Hou JX; Institute of Modern Physics, Northwest University, Xi'an 710127, China.
  • Cao LK; Shaanxi Key Laboratory for Theoretical Physics Frontiers, Xi'an 710127, China.
  • Wang XH; School of Physics, Northwest University, Xi'an 710127, China.
Entropy (Basel) ; 21(4)2019 Apr 01.
Article em En | MEDLINE | ID: mdl-33267066
ABSTRACT
We explicitly present a generalized quantum teleportation of a two-qubit entangled state protocol, which uses two pairs of partially entangled particles as quantum channel. We verify that the optimal probability of successful teleportation is determined by the smallest superposition coefficient of these partially entangled particles. However, the two-qubit entangled state to be teleported will be destroyed if teleportation fails. To solve this problem, we show a more sophisticated probabilistic resumable quantum teleportation scheme of a two-qubit entangled state, where the state to be teleported can be recovered by the sender when teleportation fails. Thus the information of the unknown state is retained during the process. Accordingly, we can repeat the teleportion process as many times as one has available quantum channels. Therefore, the quantum channels with weak entanglement can also be used to teleport unknown two-qubit entangled states successfully with a high number of repetitions, and for channels with strong entanglement only a small number of repetitions are required to guarantee successful teleportation.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article