Quantum Potential Adaptive Computation

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

Quantum Potential Adaptive Computation explores the potential of leveraging quantum potential fields for enhanced computational capabilities. This research introduces a novel framework predicated on quantum potential self-similarity, aiming to automate complex quantum computations through dynamic parameter adjustment. The core mechanism centers around a self-consistent update of the quantum potential, iteratively refining the system's state to achieve desired results. This approach offers a pathway towards simplified and more efficient quantum algorithm design, particularly for problems exhibiting intricate quantum dynamics. We present a preliminary model demonstrating the potential of this framework, highlighting its advantages over traditional methods in certain scenarios. This work investigates the design of a quantum potential adaptive computation framework, outlining its theoretical foundation and preliminary experimental validation.

DOI: 10.5281/zenodo.22154443

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