impurity models
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2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Haonan Huang ◽  
Robert Drost ◽  
Jacob Senkpiel ◽  
Ciprian Padurariu ◽  
Björn Kubala ◽  
...  

Abstract Spin-dependent scattering from magnetic impurities inside a superconductor gives rise to Yu-Shiba-Rusinov (YSR) states within the superconducting gap. They can be modeled by the largely equivalent Kondo or Anderson impurity models. The role of the magnetic and nonmagnetic properties of the impurity in relation to the coupling to the substrate is still under debate. Here, we use a scanning tunneling microscope to make a quantitative connection between the energy of a YSR state and the impurity-substrate hybridization. We corroborate the impurity substrate coupling as a key energy scale for surface derived YSR states using the Anderson impurity model. By combining experimental data from YSR state spectra and additional conductance measurements, we can determine on which side of the quantum phase transition the system resides. We thus provide a crucial step towards a more quantitative understanding of the crucial role of impurity substrate coupling utilizing the Anderson model.


2020 ◽  
Vol 152 (6) ◽  
pp. 064105
Author(s):  
Zuxin Jin ◽  
Wenjie Dou ◽  
Joseph E. Subotnik

2020 ◽  
Vol 8 (2) ◽  
Author(s):  
Daniel Bauernfeind ◽  
Markus Aichhorn

We present a generalization of the Time Dependent Variational Principle (TDVP) to any finite sized loop-free tensor network. The major advantage of TDVP is that it can be employed as long as a representation of the Hamiltonian in the same tensor network structure that encodes the state is available. Often, such a representation can be found also for long-range terms in the Hamiltonian. As an application we use TDVP for the Fork Tensor Product States tensor network for multi-orbital Anderson impurity models. We demonstrate that TDVP allows to account for off-diagonal hybridizations in the bath which are relevant when spin-orbit coupling effects are important, or when distortions of the crystal lattice are present.


2019 ◽  
Vol 100 (24) ◽  
Author(s):  
G. Shankar ◽  
J. Maciejko

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