Quantum Dynamics Simulations: Adaptive Parameter Adjustment for Enhanced Accuracy and Efficiency

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum dynamics simulations are computationally intensive, requiring careful selection of parameters to achieve accurate results. This paper introduces an adaptive parameter adjustment algorithm for quantum dynamics simulations, designed to automatically adjust parameters based on simulation outcomes. The core mechanism leverages the inherent properties of quantum dynamics to dynamically optimize parameters, thereby improving simulation fidelity and efficiency. The algorithm aims to overcome the limitations of traditional parameter tuning methods, offering a significant advancement in the handling of complex simulations. This work presents a novel approach that adapts simulation parameters in real-time, resulting in enhanced accuracy and computational savings.

DOI: 10.5281/zenodo.22297405

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