Ab initio exact diagonalization simulation of the Nagaoka transition in quantum dots

Journal Article (2019)
Author(s)

Yao Wang (Harvard University)

Juan Pablo Dehollain (University of Technology Sydney, Kavli institute of nanoscience Delft)

Fang Liu (Massachusetts Institute of Technology)

Uditendu Mukhopadhyay (TU Delft - QuTech Advanced Research Centre, Kavli institute of nanoscience Delft, TU Delft - QCD/Vandersypen Lab)

Mark S. Rudner (University of Copenhagen)

Lieven M.K. Vandersypen (TU Delft - QN/Vandersypen Lab, TU Delft - QCD/Vandersypen Lab, TU Delft - TU Delft Library)

Eugene Demler (Harvard University)

DOI related publication
https://doi.org/10.1103/PhysRevB.100.155133 Final published version
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Publication Year
2019
Language
English
Issue number
15
Volume number
100
Article number
155133
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351
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Abstract

Recent progress of quantum simulators provides insight into the fundamental problems of strongly correlated systems. To adequately assess the accuracy of these simulators, the precise modeling of the many-body physics, with accurate model parameters, is crucially important. In this paper, we employed an ab initio exact diagonalization framework to compute the correlated physics of a few electrons in artificial potentials. We apply this approach to a quantum-dot system and study the magnetism of the correlated electrons, obtaining good agreement with recent experimental measurements in a plaquette. Through control of dot potentials and separation, including geometric manipulation of tunneling, we examine the Nagaoka transition and determine the robustness of the ferromagnetic state. While the Nagaoka theorem considers only a single-band Hubbard model, in this work we perform extensive ab initio calculations that include realistic multiorbital conditions in which the level splitting is smaller than the interactions. This simulation complements the experiments and provides insight into the formation of ferromagnetism in correlated systems. More generally, our calculation sets the stage for further theoretical analysis of analog quantum simulators at a quantitative level.