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Modelling Hyperentanglement for Quantum Information Processes

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Numerical Computations: Theory and Algorithms (NUMTA 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14478))

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Abstract

Entanglement is a very useful phenomenon for quantum information processes. When more than one degree of freedom (DOF) is entangled, the hyperentanglement is realized. The main advantage of hyperentanglement is that of being able to encode a greater amount of information by exploiting the quantum coherence. This advantage is due to the fact that it is possible to extract information for each DOF. We propose to model a hyperentangled state through copies of a Bell state and evaluate its functionality transferring a quantum state through a classical channel. The goal is to simulate the transport of a hyperentangled state through a classical channel in the presence of a system-environment interaction. By virtue of an increased Hilbert space following the increase in the DOF, the entanglement quantifier, the so called concurrence, decays slower with the distance compared to the case of one DOF.

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Author information

Authors and Affiliations

  1. Department of Physics “E. R. Caianiello”, University of Salerno, via Giovanni Paolo II 132, 84014, Fisciano, (SA), Italy

    Luca Salatino, Luca Mariani, Carmine Attanasio, Sergio Pagano & Roberta Citro

  2. CNR - SPIN, c/o University of Salerno, via Giovanni Paolo II 132, 84014, Fisciano, (SA), Italy

    Carmine Attanasio, Sergio Pagano & Roberta Citro

  3. INFN, Gruppo collegato di Salerno, via Giovanni Paolo II 132, 84014, Fisciano, (SA), Italy

    Sergio Pagano & Roberta Citro

Authors
  1. Luca Salatino
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  2. Luca Mariani
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  3. Carmine Attanasio
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  4. Sergio Pagano
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  5. Roberta Citro
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Correspondence to Luca Salatino .

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Editors and Affiliations

  1. University of Calabria, Rende, Italy

    Yaroslav D. Sergeyev

  2. University of Calabria, Rende, Italy

    Dmitri E. Kvasov

  3. University of Calabria, Rende, Italy

    Annabella Astorino

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Salatino, L., Mariani, L., Attanasio, C., Pagano, S., Citro, R. (2025). Modelling Hyperentanglement for Quantum Information Processes. In: Sergeyev, Y.D., Kvasov, D.E., Astorino, A. (eds) Numerical Computations: Theory and Algorithms. NUMTA 2023. Lecture Notes in Computer Science, vol 14478. Springer, Cham. https://doi.org/10.1007/978-3-031-81247-7_33

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  • DOI: https://doi.org/10.1007/978-3-031-81247-7_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-81246-0

  • Online ISBN: 978-3-031-81247-7

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