# Opportunistic Entanglement Distribution for the Quantum Internet

**Authors:** Laszlo Gyongyosi, Sandor Imre

arXiv: 1905.00258 · 2019-05-02

## TL;DR

This paper introduces an opportunistic entanglement distribution method for the quantum Internet that optimizes quantum node selection based on local memory errors and fidelity evolution, enhancing efficiency and fidelity.

## Contribution

It proposes a novel, practical model for entanglement distribution that considers local quantum memory errors and fidelity dynamics, improving quantum network performance.

## Key findings

- Efficient entanglement distribution with local memory error consideration.
- Moderate-complexity solution suitable for experimental quantum Internet.
- Improved fidelity in quantum entanglement distribution.

## Abstract

Quantum entanglement is a building block of the entangled quantum networks of the quantum Internet. A fundamental problem of the quantum Internet is entanglement distribution. Since quantum entanglement will be fundamental to any future quantum networking scenarios, the distribution mechanism of quantum entanglement is a critical and emerging issue in quantum networks. Here we define the method of opportunistic entanglement distribution for the quantum Internet. The opportunistic model defines distribution sets that are aimed to select those quantum nodes for which the cost function picks up a local minimum. The cost function utilizes the error patterns of the local quantum memories and the predictability of the evolution of the entanglement fidelities. Our method provides efficient entanglement distributing with respect to the actual statuses of the local quantum memories of the node pairs. The model provides an easily-applicable, moderate-complexity solution for high-fidelity entanglement distribution in experimental quantum Internet scenarios.

## Full text

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## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/1905.00258/full.md

## References

67 references — full list in the complete paper: https://tomesphere.com/paper/1905.00258/full.md

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Source: https://tomesphere.com/paper/1905.00258