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Core Claim: This research investigates a novel non-linear geometric model of quantum fields, leveraging the adaptive nature of quantum fields to establish a framework for simulating complex physical systems and facilitating applications in quantum computing and quantum information processing.

Jincheng Zhang

Published Sep 2, 2026• 0 citations
Publisher

Abstract

This paper presents a theoretical framework for simulating complex physical systems utilizing a dynamically evolving quantum field model. The core principle revolves around constructing a quantum field simulator environment that exploits the inherent adaptability of quantum fields, enabling the generation of complex and non-linear geometric structures. The resulting simulation results are then utilized to develop a non-linear geometric model applicable to a broad spectrum of physical phenomena. The study highlights the potential of this approach to enhance the capabilities of quantum algorithms and address challenges in quantum information processing. Specifically, the model's ability to dynamically adapt to intricate physical systems offers a significant advancement over traditional, static models. This research employs a novel methodology incorporating self-similarity principles within the quantum field representation to generate complex geometric landscapes, providing a foundation for advanced simulations. The resulting model demonstrates promise for exploring and modeling diverse physical systems with increased computational efficiency and the potential for novel applications within quantum technologies.

DOI
10.5281/zenodo.22252901

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