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The Novel Algorithm for Dynamic Topological Key Distribution

Jincheng Zhang

Published Sep 3, 2026• 0 citations
Publisher

Abstract

This paper presents a novel algorithm for dynamic topological key distribution, leveraging the unique properties of quantum information encryption. The core concept revolves around a dynamic topology model that mimics quantum error correction, enabling a more secure and efficient key distribution process. We explore the design of a key distribution mechanism that integrates quantum information encryption and optimizes the quantum error correction process. This approach promises enhanced security and efficiency compared to traditional cryptographic methods, particularly in the face of quantum attacks and limitations in current error correction techniques. The study focuses on the utilization of dynamic topology to represent and manage the quantum state, offering a robust framework for key distribution.

DOI
10.5281/zenodo.22278237

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The development of robust and secure quantum information cryptography is a critical area of research, addressing the vulnerabilities of current cryptographic methods. This paper introduces a novel approach to quantum information encryption based on the principles of topological quantum states. We propose a quantum information encryption scheme that leverages the inherent topological properties of quantum states to provide enhanced security and privacy. The core mechanism involves manipulating quantum states through topological transformations, creating complex and unpredictable states that are resistant to attacks. This research explores the potential of utilizing these topological structures to develop a fundamentally new paradigm for quantum data protection. The study focuses on the design of an encryption algorithm that offers improved resilience against various computational attacks compared to existing cryptographic techniques. We begin with a detailed theoretical framework, outlining the mathematical foundations underpinning the proposed scheme, and then present a practical implementation of the core algorithm. The paper concludes by discussing future research directions and potential applications of this innovative approach.
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