Nonlinear Quantum System Simulation Adaptive Algorithm

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper presents an adaptive algorithm framework based on nonlinear quantum system simulation, designed to optimize and improve the simulation of complex quantum systems. Traditional simulation methods rely on classical models, and this approach leverages the unique characteristics of nonlinear systems to offer a novel simulation methodology. The core mechanism focuses on constructing a framework that adapts to the dynamics of the system, allowing for targeted optimization and enhanced accuracy. The research explores the practical application of this framework through simulations of specific quantum systems, demonstrating its potential for addressing challenges in complex quantum modeling. The paper concludes with a discussion of the algorithm's design, implementation, and preliminary results, highlighting its strengths and potential impact on the field of quantum simulation.

DOI: 10.5281/zenodo.22191340

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