基于动态几何变换的量子态模拟的改进算法

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper introduces a novel algorithm for quantum state simulation that leverages dynamic geometric transformations to accurately model quantum state evolution. Traditional quantum state simulation methods often rely on static models, limiting their ability to represent complex quantum phenomena and hindering optimization for quantum computation. We propose a new approach that dynamically adjusts the geometric representation of the quantum system, enabling a more precise and efficient simulation. The core mechanism involves the application of dynamic geometric transformations to represent the system's evolution, coupled with a quantum optimization algorithm to enhance simulation accuracy and speed. We present preliminary results demonstrating the algorithm's improved performance in simulating specific quantum states and showcasing its potential for optimizing quantum algorithm design.

DOI: 10.5281/zenodo.22322046

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