基于自适应量子模拟器设计

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

This paper presents a novel quantum simulation framework centered around adaptive quantum simulation, designed to enhance the efficiency and effectiveness of quantum simulations. Traditional quantum simulation methods often struggle with complex, high-dimensional systems due to the computational cost associated with parameter tuning. Our approach addresses this challenge by incorporating a dynamic adjustment mechanism that intelligently modifies simulation parameters based on the system's state, offering a significant improvement over static parameter settings. The proposed framework leverages a layered approach, beginning with a foundational quantum simulator and progressively refining its behavior through a self-adaptive process. This allows for a more nuanced and responsive simulation, ultimately enabling the resolution of intricate quantum systems and facilitating the exploration of previously intractable problems. The paper details the architecture, implementation considerations, and preliminary experimental results demonstrating the framework's effectiveness. The core claim of this work is that the proposed adaptive quantum simulator framework offers a substantial improvement in simulation efficiency and allows for the exploration of complex quantum systems.

DOI: 10.5281/zenodo.22153658

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