Self-Configuring Quantum Networks with Superposition of Trajectories

TL;DR

This paper introduces a self-configuring quantum network method that uses superposed paths and variational optimization to adaptively improve connection fidelity despite noise and imperfections.

Contribution

It presents a novel framework combining superposition of quantum trajectories with variational techniques for adaptive quantum network configuration.

Findings

Effective in optimizing noisy quantum paths

Capable of adapting without detailed channel knowledge

Remains beneficial despite generation imperfections

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 is in principle capable of adapting to unknown noise without requiring detailed 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.