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Based on Delay Quantum Network Routing Protocol

Jincheng Zhang

Published Sep 7, 2026• 0 citations
Publisher

Abstract

This paper presents a novel quantum network routing protocol leveraging the inherent delay characteristics of quantum entanglement. Traditional quantum network routing protocols often rely on metrics like channel capacity and latency, which can be complex to determine and optimize. This proposed protocol, termed "Based on Delay Quantum Network Routing Protocol," directly utilizes the measured delay of quantum entanglement to guide data transmission, offering a potentially more efficient and adaptable routing strategy. The core mechanism involves quantifying and interpreting the delay associated with entangled states, effectively mapping these delays to optimal routing paths. This approach provides a fundamentally different perspective on routing, moving beyond conventional capacity-based analysis. We explore the theoretical foundations, outline the protocol's architecture, and discuss potential challenges and future research directions. The efficacy of this protocol is demonstrated through a theoretical framework, highlighting the potential for improved data transmission rates and resilience within quantum networks.

DOI
10.5281/zenodo.22636994

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This paper proposes a novel routing protocol for distributed networks inspired by quantum entanglement. Traditional classical routing protocols suffer from inherent bottlenecks and inefficiencies, particularly as network scales increase. This work introduces an entanglement-based routing scheme that mimics the behavior of entangled particles to achieve exponentially faster and more robust routing. The core concept involves mapping network nodes to quantum states and leveraging the correlated nature of entanglement to determine optimal paths. We formulate the routing problem as a search within a complex Hilbert space, utilizing probabilistic methods to approximate the desired quantum state. The proposed protocol introduces metrics for path evaluation based on entanglement strength and distance, resulting in a dynamic routing strategy. Simulation results demonstrate the potential for significant performance improvements compared to conventional routing algorithms, offering a fundamentally new approach to network routing. Further research will focus on optimizing the algorithm for practical implementation and exploring its application in diverse network topologies.
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