Dynamic Quantum Potential Computing Model

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper presents a novel computational model based on dynamic quantum potential fields, designed to efficiently model and solve complex systems by dynamically adjusting quantum potential landscapes. Traditional computational methods often struggle with intricate equations and complex system behavior. This model leverages the unique properties of quantum computers to achieve high-precision calculations across a range of applications. The core mechanism involves a sophisticated system of quantum potential fields that are continuously updated and refined, enabling the simulation of dynamic systems and the resolution of challenging equations. This approach overcomes limitations of static models, offering a promising path toward improved computational power and accuracy in modeling complex phenomena.

DOI: 10.5281/zenodo.22446011

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