Optimizing entanglement distribution via noisy quantum channels
Piotr Masajada, Marco Fellous-Asiani, Alexander Streltsov

TL;DR
This paper analyzes strategies for distributing entanglement over noisy quantum channels, showing the midpoint placement is often optimal and developing SDP methods to quantify achievable entanglement.
Contribution
It demonstrates the optimality of the midpoint entanglement source placement and introduces SDP techniques to evaluate entanglement distribution capabilities.
Findings
Midpoint strategy is optimal for certain qubit channels.
SDP methods effectively quantify maximum entanglement distribution.
Weakly entangled inputs are often necessary for successful distribution.
Abstract
Entanglement distribution is a crucial problem in quantum information science, owing to the essential role that entanglement plays in enabling advanced quantum protocols, including quantum teleportation and quantum cryptography. We investigate strategies for distributing quantum entanglement between two distant parties through noisy quantum channels. Specifically, we compare two configurations: one where the entanglement source is placed at the midpoint of the communication line, and another where it is located at one end. For certain families of qubit channels we show analytically that the midpoint strategy is optimal. Based on extensive numerical analysis, we conjecture that this strategy is generally optimal for all qubit channels. Focusing on the midpoint configuration, we develop semidefinite programming (SDP) techniques to assess whether entanglement can be successfully…
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