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Chaos and interactions in quantum dots.

机译:量子点中的混沌和相互作用。

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摘要

Random-matrix theory has proved to be a successful tool in understanding the statistics of transport measurements in mesoscopic systems. Fluctuations of conductance peak-heights due to the transfer of single electrons through diffusive and chaotic ballistic quantum dots in the Coulomb-blockade regime can be modeled by fluctuations of random-matrix wavefunctions at low temperatures in the simple constant interaction model. On the other hand, statistics of the spacing between successive peaks do not show the behaviour predicted by the simple model, indicating that interactions beyond constant charging energy play an important role. The central theme of this thesis is the study of interaction effects on the mesoscopic fluctuations in a weakly disordered or chaotic ballistic quantum dot. Mean-field calculations suggest that upon addition of electrons into the dot, single-particle wavefunctions are not significantly altered while their eigenvalues "scramble" with the change in the self-consistent potential, thus affecting the peak-spacing statistics. We model this variation in the mean field by an extension of random-matrix theory: Gaussian processes, where the ensemble of random matrices depends on a discrete parameter, the number of electrons. Using a Gaussian process we can explain the saturation of the peak-to-peak correlator versus temperature. Another experimental signature of interactions is the enhanced peak-height correlation length versus an experimental magnetic field. We calculate the parametric peak-height correlator in the random interaction matrix model whose single-particle Hamiltonian is modeled by a Gaussian process. We find an increase in peak-height correlation length with the interaction fluctuation strength, that explains qualitatively the experimental observations. A microscopic understanding of the peak-spacing distribution requires the inclusion of the spin degrees of freedom. We introduce the Hartree-Fock-Koopmans approach for electrons with spin and calculate the Coulomb-blockade spacing statistics in quantum dots with a large number of electrons and at low temperatures. We account for the exchange interaction, as well as the fluctuations of interaction matrix elements to leading order in inverse Thouless conductance. We explain various features of the experimental peak-spacing distributions, including the absence of bimodality.
机译:事实证明,随机矩阵理论是理解介观系统中传输测量统计数据的成功工具。在简单的恒定相互作用模型中,可以通过低温下随机矩阵波函数的波动来模拟由于库仑阻隔状态下单个电子通过扩散和混沌弹道量子点转移而引起的电导峰高波动。另一方面,连续峰之间的间隔的统计数据未显示简单模型所预测的行为,这表明恒定充电能量以外的相互作用起着重要作用。本文的中心主题是研究相互作用对弱无序或混沌弹道量子点的介观波动的影响。平均场计算表明,将电子添加到点中后,单粒子波函数不会发生明显变化,而其特征值会随着自洽电位的变化而“加扰”,从而影响峰间距统计。我们通过扩展随机矩阵理论:高斯过程,对平均场中的这种变化进行建模,其中随机矩阵的集合取决于离散参数(电子数)。使用高斯过程,我们可以解释峰峰值相关器的饱和度与温度的关系。相互作用的另一个实验特征是峰高相关长度相对于实验磁场的增强。我们在随机相互作用矩阵模型中计算参数峰高相关器,该模型的单粒子哈密顿量是通过高斯过程建模的。我们发现峰高相关长度随相互作用波动强度的增加而定性地解释了实验观察结果。对峰间距分布的微观了解要求包括自旋自由度。我们介绍了具有自旋电子的Hartree-Fock-Koopmans方法,并在具有大量电子且处于低温状态的量子点中计算了库仑禁区间距统计量。我们考虑交换交互作用,以及交互矩阵电导在逆电导中的前导顺序波动。我们解释了实验性峰间距分布的各种特征,包括不存在双峰性。

著录项

  • 作者

    Khandelwal, Swati.;

  • 作者单位

    Yale University.;

  • 授予单位 Yale University.;
  • 学科 Physics Condensed Matter.
  • 学位 Ph.D.
  • 年度 2003
  • 页码 118 p.
  • 总页数 118
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 O49;
  • 关键词

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