多体量子场论的自适应参数化

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper explores the application of a novel self-adaptive parameterization approach to the study of multi-particle systems within the framework of quantum field theory. The core claim is that this method, predicated on the inherent adaptability of quantum field theory, can optimize the computational and observable characteristics of multi-particle systems significantly more efficiently than traditional methods. We present a theoretical framework incorporating key aspects of quantum field theory, specifically focusing on the role of dynamically adjusted parameters. The paper details the underlying mathematical model and highlights the potential benefits of this approach, particularly in scenarios demanding high-fidelity simulations of complex multi-particle systems. The investigation addresses challenges in parameterization and provides a foundation for further research exploring the scalability and robustness of this self-adaptive strategy.

DOI: 10.5281/zenodo.22635610

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