基于量子自适应的计算图设计

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper introduces a novel computational graph design leveraging quantum self-adaptivity. Traditional computational graph design relies heavily on static parameter settings, which often struggles to effectively handle dynamic system characteristics. We propose a new approach that dynamically adjusts quantum states based on the system's evolution, leading to improved efficiency and accuracy. This system utilizes quantum self-adaptivity to create a responsive and adaptable graph structure. The paper details the core mechanism of this design, outlining the algorithm for parameter optimization and its impact on computational performance. We demonstrate the effectiveness of this approach through simulations and provide a preliminary analysis of its potential applications. The core claim highlights the significant improvement in computational efficiency and accuracy achieved by this design compared to traditional methods.

DOI: 10.5281/zenodo.22593008

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