基于自适应几何的量子计算算法

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces a novel quantum computing algorithm based on adaptive geometry. Traditional quantum computation often relies on fixed geometric structures, which struggles to adapt to dynamic environments. Our algorithm dynamically adjusts the computation's geometric structure in response to input data characteristics, leading to enhanced flexibility and improved computational efficiency. We present a theoretical framework and initial implementation demonstrating the algorithm's potential for tackling complex quantum problems. The core mechanism revolves around a self-adjusting geometry that optimizes the quantum state for specific input conditions.

DOI: 10.5281/zenodo.22186568

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