基于动态量子态的计算图设计

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper introduces a novel computational graph design based on dynamic quantum states, aiming to enhance both computational efficiency and precision. Traditional graph-based approaches often rely on static parameter settings, limiting their adaptability to complex calculations. We propose a system where the graph's structure and node relationships dynamically adjust based on quantum state manipulations. This dynamic adjustment leverages the inherent properties of quantum states to optimize computation, offering a significant improvement over static graph approaches. We detail the core mechanism, outlining how quantum state transformations are integrated into the graph structure, and present preliminary experimental results demonstrating enhanced performance in a specific computational task. This work represents a significant step toward more adaptable and efficient computational graph design.

DOI: 10.5281/zenodo.22592635

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