Dynamic Adaptive Quantum Algorithm

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

This paper introduces a novel dynamic adaptive quantum algorithm designed to enhance computational efficiency and accuracy by dynamically adjusting quantum computation processes in response to fluctuations in the quantum potential. Traditional quantum algorithms often rely on fixed parameters, limiting their scalability and adaptability. Our proposed algorithm leverages the inherent dynamics of the quantum potential to continuously refine the computation, enabling faster convergence and improved results. This research focuses on a mechanism that intelligently adapts quantum circuits based on the evolution of the quantum system's state. We present a framework for evaluating and adjusting parameters to optimize performance across a range of input parameters.

DOI: 10.5281/zenodo.22247461

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