基于自适应量子势场的量子模拟算法

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper introduces a novel quantum simulation algorithm based on an adaptive quantum field. Traditional quantum simulation methods often require manual parameter adjustment, limiting automation and potentially impacting accuracy. Our algorithm dynamically adjusts the quantum field parameters during the simulation process, achieving significantly improved simulation fidelity and efficiency. We demonstrate the effectiveness of this approach through a series of carefully chosen simulations, highlighting its potential to revolutionize quantum simulation workflows. The core mechanism focuses on automated parameter tuning through a self-adjusting field, allowing for a more robust and accurate simulation.

DOI: 10.5281/zenodo.22300729

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