基于自适应拓扑的量子纠缠系统优化

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum entanglement, a fundamental quantum phenomenon, holds immense potential for advanced quantum technologies. This paper explores the application of a novel, self-adaptive topological optimization technique to optimize quantum systems. Traditional optimization methods often rely on classical computation, limiting the potential for significant improvements. The proposed technique leverages quantum entanglement to create a dynamically adjusted system, enabling more precise control and enhanced optimization capabilities. We present a detailed explanation of the core mechanism, outlining its advantages over existing approaches. This research aims to unlock new possibilities in the design and control of quantum systems, pushing the boundaries of quantum technology. The core claim is that this self-adaptive topological optimization method will result in significant improvements in system performance and control.

DOI: 10.5281/zenodo.22188156

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