基于自适应几何变换的量子态计算

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper investigates the stability of quantum states under complex geometric transformations using an adaptive geometry transformation approach. Traditional quantum state computation primarily focuses on the state itself, but this work introduces a novel mechanism – adaptive geometry transformations – that dynamically adjusts quantum states to understand their evolution and stability. We aim to identify underlying quantum state patterns and potentially discover new quantum states through this process. The core of this research involves developing an algorithm that iteratively refines quantum states based on geometric transformations, providing a framework for investigating the robustness of quantum systems. This work explores the relationship between geometric constraints and quantum properties, offering a new perspective on the challenges and opportunities in quantum state manipulation. The proposed method demonstrates a potential pathway towards more robust and predictable quantum states, pushing beyond conventional approaches.

DOI: 10.5281/zenodo.22636615

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