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Two efficient schemes for probabilistic remote state preparation and the combination of both schemes

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Abstract

We propose two novel schemes for probabilistic remote preparation of an arbitrary quantum state with the aid of the introduction of auxiliary particles and appropriate local unitary operations. The first new proposal could be used to improve the total successful probability of the remote preparation of a general quantum state, and the successful probability is twice as much as the one of the preceding schemes. Meanwhile, one can make use of the second proposal to realize the remote state preparation when the information of the partially entangled state is only available for the sender. This is in contrast to the fact that the receiver must know the non-maximally entangled state in previous typical schemes. Hence, our second proposal could enlarge the applied range of probabilistic remote state preparation. Additionally, we will illustrate how to combine these novel proposals in detail, and our results show that the union has the advantages of both schemes. Of course, our protocols are implemented at the cost of the increased complexity of the practical realizations.

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Acknowledgments

This work is supported by the Program for National Natural Science Foundation of China (Grant Nos. 61134008, 11074307 and 61273202).

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Authors and Affiliations

  1. Department of Automatic Control, College of Mechatronics and Automation, National University of Defense Technology, Changsha, 410073, Hunan, Peoples Republic of China

    Jiahua Wei & Ming Zhang

  2. Department of Physics, College of Science, National University of Defense Technology, Changsha, 410073, Hunan, Peoples Republic of China

    Hong-Yi Dai

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  1. Jiahua Wei
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  2. Hong-Yi Dai
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Correspondence to Ming Zhang.

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Wei, J., Dai, HY. & Zhang, M. Two efficient schemes for probabilistic remote state preparation and the combination of both schemes. Quantum Inf Process 13, 2115–2125 (2014). https://doi.org/10.1007/s11128-014-0799-6

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  • DOI: https://doi.org/10.1007/s11128-014-0799-6

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