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Quantum Topological Information Encryption Adaptive Algorithm

Jincheng Zhang

Published Aug 29, 2026• 0 citations
Publisher

Abstract

This paper presents a novel quantum topological information encryption algorithm designed to enhance security through the application of quantum entanglement and quantum tunneling. Traditional cryptographic methods rely on classical information, and this algorithm leverages quantum entanglement and tunneling to provide a significantly enhanced security level. The core of the algorithm is an adaptive mechanism that dynamically adjusts parameters to maintain security against potential attacks. This research explores the fundamental principles underpinning this approach and its potential implications for modern cryptographic systems. The investigation focuses on the interplay between quantum mechanics and cryptographic protocols.

DOI
10.5281/zenodo.22158888

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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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