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Anomalous transport effects on switching currents of graphene-based Josephson junctions

机译:基于石墨烯的Josephson结交换电流的异常运输影响

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We explore the effect of noise on the ballistic graphene-based small Josephson junctions in the framework of the resistively and capacitively shunted model. We use the non-sinusoidal current-phase relation specific for graphene layers partially covered by superconducting electrodes. The noise induced escapes from the metastable states, when the external bias current is ramped, given the switching current distribution, i.e. the probability distribution of the passages to finite voltage from the superconducting state as a function of the bias current, that is the information more promptly available in the experiments. We consider a noise source that is a mixture of two different types of processes: a Gaussian contribution to simulate an uncorrelated ordinary thermal bath, and non-Gaussian, a-stable (or Levy) term, generally associated to non-equilibrium transport phenomena. We find that the analysis of the switching current distribution makes it possible to efficiently detect a non-Gaussian noise component in a Gaussian background.
机译:我们在电阻和电容分流模型的框架中探讨了噪声对基于弹道石墨烯的小Josephseon结的影响。我们使用特定于由超导电极覆盖的石墨烯层的非正弦电流相位关系。当外部偏置电流升高时,噪声引起的噪声感应从亚稳态的旋转,即,给定电流分布,即段落的概率分布到来自超导状态的有限电压的偏置电流,即更多信息在实验中立即提供。我们考虑一种噪声源,该噪声源是两种不同类型的过程的混合:高斯贡献,以模拟不相关的普通热浴,并且非高斯,稳定(或征收)术语,通常与非平衡运输现象相关。我们发现对切换电流分布的分析使得可以有效地检测高斯背景中的非高斯噪声分量。

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