Decoherence reduction via continuous dynamical decoupling: Analytical study of the role of the noise spectrum

J. M. Gomez Llorente, I. Gomez-Ojeda, J. Plata
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Abstract

We analyze the robust character against the nonstatic noise of clock transitions implemented via a method of continuous dynamical decoupling (CDD) in a hyperfine Zeeman multiplet in $^{87}\mathrm{Rb}$. The emergence of features specific to the quadratic corrections to the linear Zeeman effect is evaluated. Our analytical approach, which combines methods of stochastic analysis with time-dependent perturbation theory, allows tracing the deco- herence process for generic noise sources. Working first with a basic CDD scheme, it is shown that the amplitude and frequency of the (sinusoidal driving) field of control can be appropriately chosen to force the nonstatic random input to have a (time-dependent) perturbative character. Moreover, in the dressed-state picture, the effect of noise is described in terms of an operative random variable whose properties, dependent on the driving field, can be analytically characterized. In this framework, the relevance of the spectral density of the fluctuations to the performance of the CDD technique is precisely assessed. In particular, the range of noise correlation times where the method of decoherence reduction is still efficient is identified. The results obtained in the basic CDD framework are extrapolated to concatenated schemes. The generality of our approach allows its applicability beyond the specific atomic system considered.
通过连续动态解耦降低退相干:噪声谱作用的分析研究
我们分析了在$^{87}\mathrm{Rb}$中的超精细塞曼多乘子中采用连续动态解耦(CDD)方法实现的时钟跃迁对非静态噪声的鲁棒性。对线性塞曼效应的二次修正所产生的特征进行了评价。我们的分析方法结合了随机分析方法和时变摄动理论,可以追踪一般噪声源的退相干过程。首先使用基本的CDD方案,表明可以适当地选择(正弦驱动)控制场的幅值和频率来强制非静态随机输入具有(时变)摄动特征。此外,在修饰态图中,噪声的影响是用一个有效的随机变量来描述的,该随机变量的性质取决于驱动场,可以解析表征。在这个框架中,精确地评估了波动的谱密度与CDD技术性能的相关性。特别地,确定了噪声相关次数的范围,在此范围内消相干方法仍然是有效的。在基本CDD框架中得到的结果被外推到连接的方案中。我们的方法的通用性使得它的适用性超越了所考虑的特定原子系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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