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arXiv quant-ph/0008029quant-ph
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使用自适应学习算法的相干控制

Coherent control using adaptive learning algorithms

B. J. Pearson, J. L. White, T. C. Weinacht, P. H. Bucksbaum

摘要:

我们已经建造了一个自动学习装置来控制量子系统。通过将强烈的整形超快激光脉冲引导到各种样品中,并使用系统的测量值作为反馈信号,我们能够对激光脉冲进行整形,以将系统引导到所需的状态。反馈信号是自适应学习算法的输入。该算法程序的计算机控制,声光调制器脉冲整形器。学习算法基于先前脉冲在实现预定目标方面的成功来生成新成形的激光脉冲。

英文摘要:

We have constructed an automated learning apparatus to control quantum systems. By directing intense shaped ultrafast laser pulses into a variety of samples and using a measurement of the system as a feedback signal, we are able to reshape the laser pulses to direct the system into a desired state. The feedback signal is the input to an adaptive learning algorithm. This algorithm programs a computer-controlled, acousto-optic modulator pulse shaper. The learning algorithm generates new shaped laser pulses based on the success of previous pulses in achieving a predetermined goal.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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