自适应量子势的动态调整与计算

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper investigates the development of a novel dynamic adjustment and computation framework centered around adaptive quantum potentials. Traditional computational models rely on static parameters, limiting their ability to accurately model and simulate complex systems. Our approach leverages the inherent dynamism of quantum potential landscapes to dynamically adjust parameters, facilitating precise simulations and high-fidelity calculations. The core mechanism involves constructing a dynamic adjustment framework, employing iterative simulations and parameter optimization to achieve optimal results. We present a preliminary implementation demonstrating the potential for significant computational efficiency gains through this adaptive approach. The paper explores the benefits of this method, focusing on its capacity to handle complex systems and its potential to revolutionize computational modeling.

DOI: 10.5281/zenodo.22295994

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