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Quantum Topography Optimization for Adaptive Geometric Structures

Jincheng Zhang

Published Aug 31, 2026• 0 citations
Publisher

Abstract

Quantum Topography Optimization (QTO) is a novel algorithmic framework designed to enhance geometric structure optimization by leveraging quantum topological principles. This paper proposes a unique approach that employs quantum topology to dynamically adjust geometric structures in response to the input data. The core mechanism focuses on creating a quantum-aware geometry structure that adapts to the data, leading to improved solutions compared to traditional static geometry optimization techniques. We present a detailed explanation of the QTO algorithm, its mathematical underpinnings, and preliminary results demonstrating its effectiveness in optimizing complex geometric structures. The paper concludes with a discussion of potential future research directions.

DOI
10.5281/zenodo.22201587

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