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This study provides analytical expressions for noise and decoherence in star network topologies, offering a faster optimization method for cut-off strategies without relying on Monte Carlo simulations. By comparing factory and piecemaker protocols under memory dephasing and depolarizing noise, the work establishes a theoretical baseline for near-term multipartite entanglement distribution. These findings are critical for quantum networking engineers aiming to minimize storage-induced errors in scalable star-based quantum internet architectures.
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Exact noise characterization of entanglement distribution in star networks

arXiv2 min read

arXiv:2606.07043v1 Announce Type: new Abstract: Multipartite entanglement forms the core of many networking applications. In the near-term future, it is expected that multipartite distribution will be achieved first through star topologies, making it important to understand the noise incurred during the distribution process. In such networks, elementary links are created stochastically and successful links must be stored while waiting for the remaining links, causing memory decoherence that depends on the random waiting times. We derive analytical expressions for both the average noise and its distribution, when distributing GHZ states under memory dephasing in star networks. We study and compare two distribution protocols: the factory and piecemaker protocol. Furthermore, we find expressions for the case of a global cut-off (allowing fast optimization of the cut-off without requiring Monte Carlo simulations) and extend the analysis for the factory protocol to depolarizing noise for arbitrary states.

Abstract:Multipartite entanglement forms the core of many networking applications. In the near-term future, it is expected that multipartite distribution will be achieved first through star topologies, making it important to understand the noise incurred during the distribution process. In such networks, elementary links are created stochastically and successful links must be stored while waiting for the remaining links, causing memory decoherence that depends on the random waiting times. We derive analytical expressions for both the average noise and its distribution, when distributing GHZ states under memory dephasing in star networks. We study and compare two distribution protocols: the factory and piecemaker protocol. Furthermore, we find expressions for the case of a global cut-off (allowing fast optimization of the cut-off without requiring Monte Carlo simulations) and extend the analysis for the factory protocol to depolarizing noise for arbitrary states.

arXiv:2606.07043 [quant-ph]

(or arXiv:2606.07043v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2606.07043 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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Full text under the publisher's open licence · 229 words

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