Title: Topological Optimization Based on Quantum Potential Field

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

This paper introduces a novel topological optimization algorithm based on quantum potential fields. Traditional quantum field optimization methods often rely on handcrafted parameter adjustments, which can be time-consuming and limited in effectiveness. This work proposes a new approach that leverages the inherent properties of quantum fields to dynamically adjust parameters, leading to enhanced efficiency and stability in quantum systems. We present a detailed explanation of the algorithm's core mechanics and demonstrate its effectiveness through simulations and preliminary results. The key innovation lies in the intelligent utilization of quantum field interactions to guide parameter optimization, resulting in a more robust and adaptable optimization process. This research addresses a significant limitation of existing techniques, offering a potentially transformative approach to quantum field manipulation.

DOI: 10.5281/zenodo.22155561

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