自适应量子态模拟框架

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper introduces a novel self-adaptive quantum state simulation framework designed to achieve high-precision simulation through dynamic parameter adjustment and optimization. Traditional quantum state simulation often relies on manual parameter tuning, leading to inefficiencies. Our framework leverages a dynamic adjustment process, utilizing optimization algorithms to enhance simulation accuracy. The core mechanism centers around continuously monitoring and adjusting simulation parameters based on the evolution of the quantum state, resulting in a more precise and robust simulation process. The design addresses key challenges in quantum simulation, focusing on adaptability and accuracy, offering a significant advancement over existing approaches.

DOI: 10.5281/zenodo.22499613

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