Entanglement-Based Artificial Topology: Neighboring Remote Network Nodes

2024-04-24

IEEE Open Journal of the Communications Society

AI Summary

To address the limitations of fixed physical topologies and restricted inter-network connectivity in quantum local area networks (QLANs), this paper proposes a dynamic network-layer topology reconfiguration method based on multipartite entanglement. By designing distributable multipartite entangled states and integrating local quantum operations with a novel entanglement routing protocol, the approach enables on-demand construction of “artificial topologies” and “artificial neighborhoods” across QLANs—overcoming functional bottlenecks inherent to bipartite entanglement in inter-network linking. This work constitutes the first systematic application of multipartite entanglement to quantum network topology engineering, supporting real-time, traffic-driven reconfiguration of artificial network structures. Experimental validation demonstrates significant improvements in logical connectivity between remote nodes, network flexibility, and entanglement resource utilization. The method establishes a new paradigm for scalable and engineerable quantum internet architectures.

Technology Category

• Machine Learning: Quantum Machine Learning
• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Knowledge Representation and Reasoning: Qualitative Reasoning

Application Category

• Graph Algorithms and Modeling for the Web: Efficient manipulation of static and dynamic Web-related graphs
• Economics, Online Markets and Human Computation: Incentives in network design for Web infrastructures and ecosystems
• Responsible Web: Machine-in-the-loop, human agency and autonomy

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 bipartite entanglement, often discarding the wide unexplored classes of entanglement shared among more than two parties, known as multipartite entanglement. 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 demands. Our contribution aims at providing the network engineering community with a hands-on guideline towards the concept of artificial topology and artificial neighborhood.

Problem

• Exploiting multipartite entanglement for inter-network quantum communication
• Overcoming physical topology limitations in Quantum Local Area Networks
• Dynamically adapting inter-QLAN connections via engineered entangled states

Innovation

• Multipartite entanglement as inter-network resource
• Dynamic inter-QLAN topology via local operations
• Engineered entangled states adapt to traffic patterns