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arXiv 1702.01641cond-mat.mes-hallphysics.data-an
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石墨烯基约瑟夫森结开关电流的反常输运效应

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

Claudio Guarcello, Davide Valenti, Bernardo Spagnolo, Vincenzo Pierro, Giovanni Filatrella

摘要:

我们探讨了噪声的影响弹道石墨烯为基础的小约瑟夫森结的框架下的电容和电容分流模型。我们使用特定的非正弦电流相位关系的石墨烯层部分覆盖的超导电极。当外加偏置电流斜升时,从亚稳态逃逸的噪声给出了开关电流分布,即从超导态到有限电压的通道的概率分布,作为偏置电流的函数,这是在实验中更迅速地获得的信息。我们考虑的噪声源是两种不同类型的过程的混合物:高斯贡献,以模拟一个不相关的普通热浴,和非高斯,$α$稳定(或Lévy)的长期,一般与非平衡输运现象。我们发现,开关电流分布的分析,使它能够有效地检测高斯背景中的非高斯噪声分量。

英文摘要:

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, give 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, $α$-stable (or Lévy) 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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