Quantum Information Entropy Optimization Algorithm

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum Information Entropy Optimization Algorithm (QIEO) is a novel optimization algorithm designed to enhance the efficiency of quantum information transmission. Traditional entropy-based optimization methods often struggle with the inherent complexities of quantum systems, necessitating a shift towards leveraging quantum properties. This paper proposes a new algorithm based on the calculation of quantum information entropy, aiming to identify optimal transmission strategies that maximize fidelity and minimize error rates. We present a robust framework for quantifying and manipulating quantum information entropy, ultimately leading to improved data transfer performance. The core mechanism involves a dynamically adjusted entropy calculation to guide the selection of optimal quantum states and pathways.

DOI: 10.5281/zenodo.22205469

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