自适应几何场论的量子计算模型

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper investigates the potential of self-adaptive geometric field theory, leveraging quantum computing's unique properties to enhance the precision of geometric field theory simulations and calculations. We propose a novel model that integrates quantum computation with geometric field theory, aiming to overcome limitations of traditional approaches and unlock new capabilities. The core mechanism centers around exploiting quantum entanglement and superposition to dynamically adjust the geometric parameters within the field theory, enabling more accurate and efficient simulations. This work explores the potential impact of this approach on various geometric field theory applications, including the simulation of complex cosmological structures and the analysis of topological materials. The paper presents a conceptual framework, outlines the key challenges and potential advancements, and discusses future research directions.

DOI: 10.5281/zenodo.22199134

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