Adaptive Quantum Loop

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper introduces a novel computational framework, the Adaptive Quantum Loop, designed to precisely model quantum system evolution through dynamic parameter adjustment. Traditional approaches often rely on empirical tuning, while our framework leverages a robust parameter adjustment mechanism to significantly enhance both computational accuracy and efficiency. The core mechanism centers around intelligently adjusting quantum loop parameters to guide the simulation process, resulting in improved fidelity and reduced computational cost. The research explores the potential of this approach in various quantum simulation scenarios and highlights its advantages over existing methods. The paper details the framework's design, mathematical foundations, and experimental validation, demonstrating its effectiveness in modeling complex quantum phenomena.

DOI: 10.5281/zenodo.22281285

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