Quantum Topography Optimization Algorithm: Adaptive Geometry Reconstruction

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper introduces a novel Quantum Topography Optimization Algorithm (QTOA) designed for efficient geometric reconstruction, particularly for complex structures. Traditional methods often rely on classical algorithms, limiting their ability to fully exploit geometric data. The QTOA leverages quantum topological optimization to refine the reconstruction process, enhancing data utilization and offering a significant improvement in accuracy and speed compared to existing techniques. The core mechanism involves a quantum-enhanced topology adjustment, resulting in a more precise and robust geometric representation. The algorithm's effectiveness is demonstrated through rigorous analysis and comparison with established methods. The research emphasizes the potential of quantum topological optimization to unlock new capabilities in geometric data processing.

DOI: 10.5281/zenodo.22325499

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