RADAR-Q: Resource-Aware Distributed Asynchronous Routing for Entanglement Distribution in Multi-Tenant Quantum Networks
Chenliang Tian, Zebo Yang, Raj Jain, Ramana Kompella, Reza Nejabati, Eneet Kaur, Aiman Erbad, Mohamed Abdallah, Mounir Hamdi

TL;DR
RADAR-Q is a decentralized routing protocol for quantum networks that efficiently manages shared resources, improving throughput and fidelity while maintaining fairness under high load conditions.
Contribution
It introduces a resource-aware, local decision-making routing protocol that outperforms existing methods by balancing path length, fidelity, and resource contention.
Findings
RADAR-Q achieves 2.5x to 7.6x higher throughput than baseline protocols.
Maintains end-to-end fidelity above 0.76 under high load.
Exhibits near-perfect fairness with Jain's index 96-98%.
Abstract
Scalable quantum networks must support concurrent entanglement requests, yet existing routing protocols fail when users compete for shared repeater resources, wasting fragile quantum states. This paper presents RADAR-Q, a resource-aware decentralized routing protocol embedding real-time resource contention into path selection. Unlike prior designs requiring global coordination or central anchors, RADAR-Q makes intelligent local decisions balancing path length and fidelity, instantaneous quantum memory availability, and intermediate Bell-State Measurement (BSM) operations. By identifying the Nearest Common Ancestor (NCA) within a DODAG hierarchy, RADAR-Q localizes entanglement swapping close to communicating users - avoiding unnecessary central detours and reducing BSM chain length and decoherence exposure. We evaluate RADAR-Q on grid and random topologies against synchronous and…
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