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Dynamic Quantum Entanglement Network Control Protocol

Jincheng Zhang

Published Aug 31, 2026• 0 citations
Publisher

Abstract

This paper investigates the development of a dynamic quantum entanglement network control protocol, designed to enhance quantum communication and computation through adaptive entanglement parameter adjustment. Traditional entanglement control protocols often rely on static parameters, while this approach leverages the inherent self-correcting nature of quantum entanglement to achieve superior efficiency. The core mechanism involves the implementation of a dynamic "纠缠纠错机制," which automatically adjusts entangled parameters based on real-time quantum state fluctuations. This adaptive control offers a significant improvement over static approaches, potentially unlocking new possibilities in secure communication and complex computation. The study explores the design and validation of this protocol, focusing on its ability to maintain entanglement fidelity and achieve enhanced communication rates.

DOI
10.5281/zenodo.22185357

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This paper explores the potential of leveraging quantum entanglement for a dynamically adaptable quantum network architecture. Traditional quantum network designs are often static, hindering their ability to efficiently handle fluctuating data. We propose a novel mechanism that adjusts the network topology in real-time based on input data, thereby enhancing network stability and performance. This design aims to overcome limitations of static network structures and unlock advanced quantum communication capabilities. The core concept is the integration of entanglement-based dynamics within the network topology, allowing for adaptive routing and error correction. The paper details the mathematical framework underpinning this dynamic topology adjustment, presents a preliminary simulation demonstrating enhanced stability and performance compared to static network topologies, and concludes with a discussion of future research directions.
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This paper introduces an adaptive quantum entanglement weaving algorithm that dynamically constructs and adjusts quantum entanglement networks for improved quantum communication and quantum computation. Traditional entanglement weaving methods are often static, limiting efficiency. Our algorithm leverages the unique properties of quantum entanglement to adjust the size and structure of entangled networks in response to specific requirements, offering a significant advancement over existing approaches. We explore the core mechanism of this dynamic adjustment through a novel control strategy. This work demonstrates the potential of this approach to enhance quantum communication and quantum computation through adaptive network design.
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