Entanglement-Based Artificial Topology: Neighboring Remote Network Nodes
<|reference_start|>Entanglement-Based Artificial Topology: Neighboring Remote Network Nodes: Entanglement is unanimously recognized as the key communication resource of the Quantum Internet. Yet, the possibility of implementing novel network functionalities by exploiting the marvels of entanglement has been poorly investigated so far, by mainly restricting the attention to bipartite entanglement. Conversely, in this paper, we aim at exploiting multipartite entanglement as inter-network resource. Specifically, we consider the interconnection of different Quantum Local Area Networks (QLANs), and we show that multipartite entanglement allows to dynamically generate an inter-QLAN artificial topology, by means of local operations only, that overcomes the limitations of the physical QLAN topologies. To this aim, we first design the multipartite entangled state to be distributed within each QLAN. Then, we show how such a state can be engineered to: i) interconnect nodes belonging to different QLANs, and ii) dynamically adapt to different inter-QLAN traffic patterns. Our contribution aims at providing the network engineering community with a hands-on guideline towards the concept of artificial topology and artificial neighborhood.<|reference_end|>
@article{chen2024entanglement-based,
    title={Entanglement-Based Artificial Topology: Neighboring Remote Network Nodes},
    author={SiYi Chen, Jessica Illiano, Angela Sara Cacciapuoti, Marcello Caleffi},
    journal={arXiv preprint arXiv:2404.16204},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.16204},
    primaryClass={quant-ph cs.NI}
}