基于动态自适应的量子态的几何计算

Jincheng Zhang

Published Sep 1, 2026• 0 citations

Abstract

This paper introduces a novel approach to quantum state computation, termed "Dynamic Adaptive Geometry" (DAG), which leverages a dynamically adjusted set of parameters to simulate complex quantum systems. The core of this method is a sophisticated self-tuning mechanism that adapts to the system's inherent dynamics, significantly enhancing the accuracy of predictions compared to static approaches. We demonstrate the effectiveness of DAG through rigorous analysis of various quantum systems, showcasing its ability to handle intricate quantum phenomena with improved fidelity. The research addresses limitations of existing quantum computation methods by introducing a fundamental shift in parameterization and control, paving the way for more precise and efficient simulations.

DOI: 10.5281/zenodo.22221126

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