Optimizing practical entanglement distillation

Journal Article (2018)
Author(s)

F. Rozpȩdek (TU Delft - QuTech Advanced Research Centre, TU Delft - QID/Wehner Group)

Thomas Schiet (Student TU Delft)

Thinh Lê (TU Delft - QID/Wehner Group, TU Delft - QuTech Advanced Research Centre)

David Elkouss Coronas (TU Delft - QuTech Advanced Research Centre, TU Delft - Quantum Information and Software, TU Delft - QuTech Academy)

Andrew C. Doherty (University of Sydney)

S.D.C. Wehner (TU Delft - QuTech Advanced Research Centre, TU Delft - Quantum Information and Software, TU Delft - Quantum Internet Division)

Research Group
QID/Wehner Group
Copyright
© 2018 F.D. Rozpedek, Thomas Schiet, P.T. Lê, D. Elkouss Coronas, Andrew C. Doherty, S.D.C. Wehner
DOI related publication
https://doi.org/10.1103/PhysRevA.97.062333
More Info
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Publication Year
2018
Language
English
Copyright
© 2018 F.D. Rozpedek, Thomas Schiet, P.T. Lê, D. Elkouss Coronas, Andrew C. Doherty, S.D.C. Wehner
Research Group
QID/Wehner Group
Issue number
6
Volume number
97
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Abstract

The goal of entanglement distillation is to turn a large number of weakly entangled states into a smaller number of highly entangled ones. Practical entanglement distillation schemes offer a trade-off between the fidelity to the target state and the probability of successful distillation. Exploiting such trade-offs is of interest in the design of quantum repeater protocols. Here, we present a number of methods to assess and optimize entanglement distillation schemes. We start by giving a numerical method to compute upper bounds on the maximum achievable fidelity for a desired probability of success. We show that this method performs well for many known examples by comparing it to well-known distillation protocols. This allows us to show optimality for many well-known distillation protocols for specific states of interest. As an example, we analytically prove optimality of the distillation protocol utilized within the Extreme Photon Loss entanglement generation scheme, even in the asymptotic limit. We proceed to present a numerical method that can improve an existing distillation scheme for a given input state, and we present an example for which this method finds an optimal distillation protocol. An implementation of our numerical methods is available as a Julia package.

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