基于自适应的量子势场优化

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

The pursuit of accurate and reliable quantum computation necessitates sophisticated control over quantum systems. Traditional approaches often rely on static optimization strategies, limiting the system's ability to dynamically adapt to changing conditions. This paper introduces a novel self-adaptive quantum potential field optimization method, leveraging dynamic adjustment of the quantum potential to achieve precise quantum control and significantly enhance the precision of quantum calculations. The core mechanism centers around an adaptive algorithm that continuously refines the quantum potential based on the system's state, providing a robust and automated approach to quantum control. We present a rigorous theoretical analysis and initial experimental validation demonstrating the superior performance of this method over established static optimization techniques. The focus is on enhancing the accuracy and controllability of quantum systems, opening doors to more complex and impactful quantum computations.

DOI: 10.5281/zenodo.22195953

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