Routing Entanglement in Complex Quantum Networks Using GHZ States
arXiv QuantumArchived Apr 06, 2026✓ Full text saved
arXiv:2604.03155v1 Announce Type: new Abstract: Distributing entanglement to distant parties in a network is a central task in quantum information processing and quantum networking. The sensitivity of entangled states to loss necessitates the use of entanglement routing strategies. Recently, a routing strategy using Greenberger-Horne-Zeilinger (GHZ) measurements instead of Bell state measurements (BSM) has been proposed. We further this direction of research by explicitly considering the varying
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Quantum Physics
[Submitted on 3 Apr 2026]
Routing Entanglement in Complex Quantum Networks Using GHZ States
Xin-An Chen, Caitao Zhan, Joaquin Chung, Jeffrey Larson
Distributing entanglement to distant parties in a network is a central task in quantum information processing and quantum networking. The sensitivity of entangled states to loss necessitates the use of entanglement routing strategies. Recently, a routing strategy using Greenberger-Horne-Zeilinger (GHZ) measurements instead of Bell state measurements (BSM) has been proposed. We further this direction of research by explicitly considering the varying measurement success probabilities of GHZ measurements. Moreover, we extend the analysis beyond square grid networks to complex network models such as Waxman networks and scale-free networks, as well as SURFnet, a real-world network topology in the Netherlands. Taking into account the varying success probabilities, naive application of GHZ routing achieves rates much lower than the conventional BSM routing. Instead, we propose a hybrid GHZ-BSM routing strategy. The hybrid GHZ-BSM routing strategy outperforms BSM routing in square grid networks. In other networks, however, more sophisticated adaptations using global information are required.
Comments: Updated version of our QCNC 2026 paper
Subjects: Quantum Physics (quant-ph)
Cite as: arXiv:2604.03155 [quant-ph]
(or arXiv:2604.03155v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2604.03155
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Submission history
From: Xinan Chen [view email]
[v1] Fri, 3 Apr 2026 16:24:41 UTC (2,633 KB)
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