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This research proposes a novel framework for optimizing quantum network topologies by allowing flexible assignments of qubits to nodes, which enhances resilience against particle loss and reduces hop distances. By leveraging cluster states with arbitrary allocation, the study demonstrates significant improvements in memory efficiency and connectivity robustness compared to conventional rigid architectures. This work advances the engineering of scalable quantum internet cores, addressing a critical hurdle for future large-scale quantum communication networks.
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Flexible Qubit Allocation of Network Resource States

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arXiv:2510.15776v2 Announce Type: replace Abstract: The Quantum Internet is still in its infancy, yet identifying scalable and resilient quantum network resource states is an essential task for realizing it. We explore the use of graph states with flexible, non-trivial qubit-to-node assignments. This flexibility enables adaptable engineering of the entanglement topology of an arbitrary quantum network. In particular, we focus on cluster states with arbitrary allocation as network resource states and as a promising candidate for a \textit{network core}-level entangled resource, due to its intrinsic flexible connectivity properties and resilience to particle losses. We introduce a modeling framework for overlaying entanglement topologies on physical networks and demonstrate how optimized and even random qubit assignment creates shortcuts and improves robustness and memory savings, while reducing the worst-case hop distance between remote network nodes, when compared to conventional approaches.

Abstract:The Quantum Internet is still in its infancy, yet identifying scalable and resilient quantum network resource states is an essential task for realizing it. We explore the use of graph states with flexible, non-trivial qubit-to-node assignments. This flexibility enables adaptable engineering of the entanglement topology of an arbitrary quantum network. In particular, we focus on cluster states with arbitrary allocation as network resource states and as a promising candidate for a \textit{network core}-level entangled resource, due to its intrinsic flexible connectivity properties and resilience to particle losses. We introduce a modeling framework for overlaying entanglement topologies on physical networks and demonstrate how optimized and even random qubit assignment creates shortcuts and improves robustness and memory savings, while reducing the worst-case hop distance between remote network nodes, when compared to conventional approaches.

This work has been funded by the European Union under the ERC grant QNattyNet, n. 101169850

Quantum Physics (quant-ph); Networking and Internet Architecture (cs.NI)

arXiv:2510.15776 [quant-ph]

(or arXiv:2510.15776v2 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2510.15776 Focus to learn more arXiv-issued DOI via DataCite

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