An Architecture for Control of Entanglement Generation Switches in Quantum Networks

Entanglement between quantum network nodes is often produced using intermediary devices-such as heralding stations-as a resource. When scaling quantum networks to many nodes, requiring a dedicated intermediary device for every pair of nodes introduces high costs. Here, we propose a cost-effective ar...

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Bibliographic Details
Published in:IEEE transactions on quantum engineering 2023, Vol.4, p.1-17
Main Authors: Gauthier, Scarlett, Vardoyan, Gayane, Wehner, Stephanie
Format: Article
Language:English
Subjects:
Algorithms
Central quantum network hub
control protocol
entanglement generation
Lagrange multiplier
Network hubs
network utility maximization (NUM)
Nodes
Optimization
Photonics
Protocols
Quantum entanglement
Quantum networks
Qubit
Resource management
resource sharing
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Summary:Entanglement between quantum network nodes is often produced using intermediary devices-such as heralding stations-as a resource. When scaling quantum networks to many nodes, requiring a dedicated intermediary device for every pair of nodes introduces high costs. Here, we propose a cost-effective architecture to connect many quantum network nodes via a central quantum network hub called an entanglement generation switch (EGS). The EGS allows multiple quantum nodes to be connected at a fixed resource cost, by sharing the resources needed to make entanglement. We propose an algorithm called the rate control protocol, which moderates the level of competition for access to the hub's resources between sets of users. We proceed to prove a convergence theorem for rates yielded by the algorithm. To derive the algorithm we work in the framework of network utility maximization and make use of the theory of Lagrange multipliers and Lagrangian duality. Our EGS architecture lays the groundwork for developing control architectures compatible with other types of quantum network hubs as well as system models of greater complexity.
ISSN:2689-1808
2689-1808
DOI:10.1109/TQE.2023.3320047