基于生物几何的量子计算模拟

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper presents a novel quantum computing simulation framework predicated on the principles of biological geometry. Traditional quantum computing simulations often struggle with the complexities inherent in biological systems, necessitating specialized models and often limited computational capabilities. We propose a new approach that integrates biological geometry, specifically the hierarchical structure of biological forms, into the core of our quantum algorithms. This integration aims to enhance the precision and efficiency of quantum simulations, particularly in modeling systems with intricate geometries and dynamic behaviors. The core mechanism centers on embedding geometric constraints and relationships into the quantum circuit design, leveraging the inherent properties of biological forms to guide computational processes. The research explores the potential for this integration to unlock new avenues for simulating biological data and advancing our understanding of complex biological phenomena.

DOI: 10.5281/zenodo.22202076

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