Self-Configuring Quantum Networks with Superposition of Trajectories

• URL: http://arxiv.org/abs/2510.19092v1
• Date: Tue, 21 Oct 2025 21:34:54 GMT
• Title: Self-Configuring Quantum Networks with Superposition of Trajectories
• Authors: Albie Chan, Zheng Shi, Jorge Miguel-Ramiro, Luca Dellantonio, Christine A. Muschik, Wolfgang Dür,
• Abstract summary: Quantum networks are a backbone of future quantum technologies.<n>However, their performance is challenged by noise and decoherence.<n>We propose a self-configuring approach that integrates superposed quantum paths with variational quantum optimization techniques.
• Score: 1.857281678391719
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Quantum networks are a backbone of future quantum technologies thanks to their role in communication and scalable quantum computing. However, their performance is challenged by noise and decoherence. We propose a self-configuring approach that integrates superposed quantum paths with variational quantum optimization techniques. This allows networks to dynamically optimize the superposition of noisy paths across multiple nodes to establish high-fidelity connections between different parties. Our framework acts as a black box, capable of adapting to unknown noise without requiring characterization or benchmarking of the corresponding quantum channels. We also discuss the role of vacuum coherence, a quantum effect central to path superposition that impacts protocol performance. Additionally, we demonstrate that our approach remains beneficial even in the presence of imperfections in the generation of path superposition.

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