Quantum Information Entropy Optimization

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum information entropy, a fundamental concept in quantum mechanics, provides a quantifiable measure of uncertainty and randomness within a quantum system. This research explores the application of this entropy to optimize key distribution protocols, aiming to enhance the security of these protocols through a novel optimization algorithm. The core mechanism involves leveraging the inherent properties of quantum information to dynamically adjust key parameters, mitigating vulnerabilities inherent in traditional cryptographic approaches. We demonstrate the effectiveness of this algorithm through simulations, showcasing significant improvements in key generation and security compared to baseline techniques. This paper presents a comprehensive analysis of the algorithm's design, implementation, and performance evaluation, highlighting its potential impact on the future of secure communication.

DOI: 10.5281/zenodo.22196303

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