Quantum Simulation Dynamic Parameter Adjustment

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum simulation offers a powerful approach to modeling quantum systems, but traditional methods often struggle with complex parameter settings and computationally intensive simulations. This paper presents a novel quantum simulation framework that dynamically adjusts the parameters of a quantum simulation based on observed results, aiming to improve accuracy and reduce computational cost. We introduce a modified variational quantum algorithm framework utilizing quantum annealing to dynamically optimize simulation parameters, achieving significantly enhanced fidelity and reduced execution time compared to existing approaches. This work explores the potential of adaptive parameter control within the context of quantum simulation, offering a promising path toward more efficient and accurate quantum modeling.

DOI: 10.5281/zenodo.22281315

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