Adaptive Quantum Metamodeling for Dynamical Systems

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper explores the application of adaptive quantum metamodeling to dynamically adjust mathematical frameworks used to represent and analyze dynamical systems. We introduce a novel algorithm leveraging quantum computation to iteratively refine the model based on observed data, enhancing the system's representation and predictive capabilities. The core claim is that this method offers a significant advancement over static metamodeling techniques, providing a dynamic and potentially more accurate modeling approach. This work addresses the limitations of current approaches by offering a framework for real-time adaptation to complex, evolving systems.

DOI: 10.5281/zenodo.22271010

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