Optimizing repeater schemes for the quantum internet

Journal Article (2021)
Author(s)

Kenneth Goodenough (TU Delft - QID/Wehner Group, TU Delft - QuTech Advanced Research Centre)

D. Elkouss (TU Delft - QuTech Advanced Research Centre, TU Delft - Quantum Information and Software)

S. Wehner (Kavli institute of nanoscience Delft, TU Delft - Quantum Internet Division, TU Delft - QuTech Advanced Research Centre, TU Delft - Quantum Information and Software)

Research Group
QID/Wehner Group
Copyright
© 2021 K.D. Goodenough, D. Elkouss Coronas, S.D.C. Wehner
DOI related publication
https://doi.org/10.1103/PhysRevA.103.032610
More Info
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Publication Year
2021
Language
English
Copyright
© 2021 K.D. Goodenough, D. Elkouss Coronas, S.D.C. Wehner
Research Group
QID/Wehner Group
Issue number
3
Volume number
103
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Abstract

The rate at which quantum communication tasks can be performed using direct transmission is fundamentally hindered by the channel loss. Quantum repeaters allow one, in principle, to overcome these limitations, but their introduction necessarily adds an additional layer of complexity to the distribution of entanglement. This additional complexity - along with the stochastic nature of processes such as entanglement generation, Bell swaps, and entanglement distillation - makes finding good quantum repeater schemes nontrivial. We develop an algorithm that can efficiently perform a heuristic optimization over a subset of quantum repeater schemes for general repeater platforms. We find a strong improvement in the generation rate in comparison to an optimization over a simpler class of repeater schemes based on BDCZ (Briegel, Dür, Cirac, Zoller) repeater schemes. We use the algorithm to study three different experimental quantum repeater implementations on their ability to distribute entanglement, which we dub information processing implementations, multiplexed elementary pair generation implementations, and combinations of the two. We perform this heuristic optimization of repeater schemes for each of these implementations for a wide range of parameters and different experimental settings. This allows us to make estimates on what are the most critical parameters to improve for entanglement generation, how many repeaters to use, and which implementations perform best in their ability to generate entanglement.

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