Adaptive Parameter Adjustment for Quantum Simulation

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces an adaptive parameter adjustment framework for quantum simulation, aiming to accelerate the computation and enhance the accuracy of simulation results. Traditional quantum simulation methods often struggle with complex problems due to static parameter settings. Our approach dynamically adjusts these parameters during the simulation process to optimize the results, offering a significant advancement over static methods. The core mechanism involves a continuous feedback loop, iteratively refining the parameters based on the observed simulation outcomes. The paper details the framework's design, implementation, and preliminary results demonstrating improved efficiency and accuracy in a specific quantum simulation task.

DOI: 10.5281/zenodo.22189145

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