Suppr超能文献

遗传算法优化激光脉冲以激发分子量子态。

Genetic algorithm optimization of laser pulses for molecular quantum state excitation.

机构信息

Center for Computational Natural Sciences and Bioinformatics, International Institute of Information Technology, Hyderabad 500032, India.

出版信息

J Chem Phys. 2010 Feb 14;132(6):064108. doi: 10.1063/1.3314223.

Abstract

Conventionally optimal control theory has been used in the theoretical design of laser pulses through the direct variation in the electric field of the laser pulse as a function of time. This often leads to designed laser pulses which contain a broad and seemingly arbitrary frequency structure that varies in time in a manner which may be difficult to realize experimentally. In contrast, the experimental design of laser pulses has used a genetic algorithm (GA) approach, varying only those laser parameters actually available to the experimentalist. We investigate in this paper the possibility of using GA optimization methods in the theoretical design of laser pulses to bring about quantum state transitions in molecules. This allows us to select only a small limited number of parameters to vary and to choose these parameters so that they correspond to those available to the experimentalist. In the paper we apply our methods to the vibrational-rotational excitation of the HF molecule. We choose a small limited number of frequencies and vary only the associated electric field amplitudes and pulse envelopes. We show that laser pulses designed in this way can lead to very high transition probabilities.

摘要

传统的最优控制理论已经被用于通过直接改变激光脉冲的电场作为时间的函数来设计激光脉冲。这通常会导致设计的激光脉冲包含一个广泛而看似任意的频率结构,其随时间变化的方式可能难以在实验中实现。相比之下,激光脉冲的实验设计已经使用了遗传算法(GA)方法,只改变实验者实际可用的那些激光参数。我们在本文中研究了在激光脉冲的理论设计中使用 GA 优化方法来实现分子中的量子态跃迁的可能性。这允许我们只选择少数几个要变化的参数,并选择这些参数,使其与实验者可用的参数相对应。在本文中,我们将我们的方法应用于 HF 分子的振动-转动激发。我们选择了少数几个频率,只改变相关的电场幅度和脉冲包络。我们表明,以这种方式设计的激光脉冲可以导致非常高的跃迁概率。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验