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Quantum Simulation of Adaptive Parameters

Jincheng Zhang

Published Sep 7, 2026• 0 citations
Publisher

Abstract

Quantum simulation offers unprecedented capabilities for modeling complex quantum systems, but traditional methods often struggle with computationally intensive simulations. This paper introduces a novel adaptive parameter adjustment algorithm for quantum simulation, aiming to overcome these limitations by dynamically adjusting simulation parameters based on the results obtained. The core mechanism involves analyzing the simulation trajectory to identify critical parameters, then adjusting these parameters to minimize errors and optimize simulation fidelity. We detail the algorithm's design, the methodology for parameter optimization, and the resulting improvements in accuracy and efficiency compared to existing approaches. The paper concludes with a discussion of the potential impact of this approach on various quantum simulation tasks, highlighting its promise for advancing the field.

DOI
10.5281/zenodo.22595772

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