Core Claim

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum entanglement, a bizarre phenomenon where two or more particles become linked in such a way that they share the same fate, presents a novel approach to information processing. This research explores the application of quantum entanglement to topology information processing, specifically focusing on the design of an adaptive parameter adjustment algorithm. We propose a novel algorithm that utilizes quantum entanglement to dynamically optimize system parameters, ensuring robustness and performance. The core mechanism centers on exploiting the correlations inherent in entangled states to guide system evolution. Traditional optimization methods often lack the adaptability required to effectively manage complex quantum systems. This work introduces a framework predicated on quantum entanglement, offering a fundamentally new approach to topology information processing and promises enhanced system performance through automated parameter adjustments. The resulting algorithm addresses the limitations of conventional optimization techniques by incorporating quantum entanglement as a dynamic control mechanism.

DOI: 10.5281/zenodo.22188336

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