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基于自适应量子密钥分发协议

Jincheng Zhang

Published Sep 5, 2026• 0 citations
Publisher

Abstract

This paper investigates a novel quantum key distribution (QKD) protocol, termed "Adaptive Quantum Key Distribution," leveraging dynamic adjustment of key distribution parameters based on quantum system states. The current state of QKD protocols often relies on pre-defined parameters, limiting adaptability and potential vulnerabilities. We propose a system where a quantum system's evolution is continuously monitored and the key distribution parameters are dynamically adjusted to enhance both security and operational efficiency. This adaptive approach contrasts with static parameter settings, offering a more robust and potentially superior QKD solution. The paper details the theoretical framework, implementation considerations, and preliminary results demonstrating the efficacy of this adaptive mechanism in enhancing key security.

DOI
10.5281/zenodo.22323791

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This paper introduces an Adaptive Quantum Key Distribution (QKD) algorithm designed to dynamically adjust key distribution strategies based on the current state of the key distribution. Traditional QKD algorithms rely on static parameters, limiting their adaptability and potential for improved security and efficiency. Our proposed algorithm leverages the inherent dynamic properties of quantum key distribution to automatically adjust key distribution based on observed key characteristics, offering enhanced robustness and operational performance.
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This paper explores the application of multi-particle quantum states to enhance the efficiency of quantum key distribution (QKD) protocols. Traditional QKD relies on static key distribution, which can be vulnerable to eavesdropping. We propose a novel QKD scheme predicated on the adaptability of quantum states, enabling dynamic adjustments to the key distribution process to improve security and key generation rates. The core of this approach lies in leveraging the inherent quantum properties of the encoded information, allowing for a more robust and adaptable protocol. We detail the design of the protocol, focusing on the mechanisms that facilitate this adaptation and demonstrate its potential for significantly improving QKD performance compared to static approaches. The paper concludes with a discussion of the challenges and future directions of this research.
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