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arXiv 0708.0294cond-mat.mes-hall
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量子点接触中器件几何形状对多体效应的影响:0.7反常、交换和近藤的特征

The influence of device geometry on many-body effects in quantum point contacts: Signatures of the 0.7 anomaly, exchange and Kondo

E. J. Koop, A. I. Lerescu, J. Liu, B. J. van Wees, D. Reuter, A. D. Wieck, C. H. van der Wal

摘要:

量子点接触(QPC)的电导表现出多体电子相互作用的几个特点。在零磁场中,自旋简并度似乎由于所谓的0.7反常而自发提升。此外,在QPC中的电子的g-因子增强,并且在电导中的零偏置峰指向与通过近藤杂质的传输的相似性。我们在这里报告这些多体效应如何依赖于QPC几何形状。我们发现一个明确的增强的g-因子和子带间距之间的关系,在我们的量子光子晶体,并可以将此与静电建模的量子光子晶体电位的设备的几何形状。我们还测量了与0.7异常相关的零场能量分裂,并研究了它如何演变为塞曼效应和施加磁场时的场独立交换贡献之和的分裂。虽然这种交换的贡献表明样品到样品的波动,并没有明确的依赖于QPC的几何形状,它是所有QPC相关的零场分裂的0.7异常。这提供了证据表明,分裂的0.7异常占主导地位的这种字段无关的交换分裂。近藤效应的特征也没有显示出对QPC几何形状的规律性依赖,但可能与0.7异常的分裂相关。

英文摘要:

The conductance of a quantum point contact (QPC) shows several features that result from many-body electron interactions. The spin degeneracy in zero magnetic field appears to be spontaneously lifted due to the so-called 0.7 anomaly. Further, the g-factor for electrons in the QPC is enhanced, and a zero-bias peak in the conductance points to similarities with transport through a Kondo impurity. We report here how these many-body effects depend on QPC geometry. We find a clear relation between the enhanced g-factor and the subband spacing in our QPCs, and can relate this to the device geometry with electrostatic modeling of the QPC potential. We also measured the zero-field energy splitting related to the 0.7 anomaly, and studied how it evolves into a splitting that is the sum of the Zeeman effect and a field-independent exchange contribution when applying a magnetic field. While this exchange contribution shows sample-to-sample fluctuations and no clear dependence on QPC geometry, it is for all QPCs correlated with the zero-field splitting of the 0.7 anomaly. This provides evidence that the splitting of the 0.7 anomaly is dominated by this field-independent exchange splitting. Signatures of the Kondo effect also show no regular dependence on QPC geometry, but are possibly correlated with splitting of the 0.7 anomaly.

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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