自适应量子势场模拟与优化

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper introduces a novel self-adaptive quantum field simulator and optimization algorithm designed to address the challenges of traditional quantum system simulation. The core of this approach lies in leveraging the inherent quantum properties of field spaces to dynamically adjust quantum fields, enabling more efficient control and optimization of complex quantum systems. We propose a new algorithm that iteratively adjusts the field parameters based on a feedback mechanism, allowing the simulation to adapt to the system's dynamics and leading to improved performance compared to existing methods. The paper details the algorithm's implementation, explores its effectiveness through theoretical analysis and preliminary simulations, and concludes with a discussion of potential applications and future research directions. The primary goal is to provide a more robust and adaptable method for simulating quantum systems, particularly those exhibiting complex dynamics and requiring fine-grained control.

DOI: 10.5281/zenodo.22514326

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