Entanglement-Based Artificial Topology: Neighboring Remote Network Nodes

Entanglement is unanimously recognized as the key communication resource of the Quantum Internet. Thus, the possibility of implementing unparalleled network functionalities by exploiting entanglement is gaining huge attention. However, the research efforts in this context are mainly focused on <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">bipartite entanglement</i>, often discarding the wide unexplored classes of entanglement shared among more than two parties, known as <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">multipartite entanglement</i>. In this paper, we aim at exploiting multipartite entanglement as <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">inter-network resource</i>. 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 <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">artificial</i> 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 demands. Our contribution aims at providing the network engineering community with a hands-on guideline towards the concept of artificial topology and artificial neighborhood.

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Publication Details

Journal
IEEE Open Journal of the Communications Society
Published
2025-01-01
DOI
https://doi.org/10.1109/ojcoms.2025.3554052
Citations
4
Primary Topic
Cellular Automata and Applications
Type
article
Field-Weighted Citation Impact
6.02
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article

Entanglement-Based Artificial Topology: Neighboring Remote Network Nodes

Si‐Yi Chen, Marcello Caleffi, Jessica Illiano, Angela Sara Cacciapuoti
4 citations
IEEE Open Journal of the Communications Society
Cellular Automata and Applications
6.02
article

Entanglement-Based Artificial Topology: Neighboring Remote Network Nodes

Si‐Yi Chen, Marcello Caleffi, Jessica Illiano, Angela Sara Cacciapuoti
article en
4 citations

Abstract

Entanglement is unanimously recognized as the key communication resource of the Quantum Internet. Thus, the possibility of implementing unparalleled network functionalities by exploiting entanglement is gaining huge attention. However, the research efforts in this context are mainly focused on <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">bipartite entanglement</i>, often discarding the wide unexplored classes of entanglement shared among more than two parties, known as <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">multipartite entanglement</i>. In this paper, we aim at exploiting multipartite entanglement as <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">inter-network resource</i>. 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 <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">artificial</i> 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 demands. Our contribution aims at providing the network engineering community with a hands-on guideline towards the concept of artificial topology and artificial neighborhood.

IEEE Open Journal of the Communications SocietyVol. 6
University of Naples Federico II (IT)
Openalex Percentile: Top 4%
Cellular Automata and Applications
6.02
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Entanglement-Based Artificial Topology: Neighboring Remote Network Nodes — Si‐Yi Chen, Marcello Caleffi, et al. · IEEE Open Journal of the Communications Society (2025) | TGRS Research Map | TGRS