Chan, Chun Fai: Quantum simulation of strongly-correlated two-dimensional fermions in optical lattices. - Bonn, 2020. - Dissertation, Rheinische Friedrich-Wilhelms-Universität Bonn.
Online-Ausgabe in bonndoc:
author = {{Chun Fai Chan}},
title = {Quantum simulation of strongly-correlated two-dimensional fermions in optical lattices},
school = {Rheinische Friedrich-Wilhelms-Universität Bonn},
year = 2020,
month = may,

note = {In this thesis, I present the experimental realisation of the two-dimensional Hubbard model with ultracold fermionic Potassium-40 atoms in optical lattices. By tuning the dimensionality, kinetic and interaction in the optical lattices, we perform an analogue quantum simulation to explore the phase diagram of the Hubbard model. The first key result is the experimental observation of particle-hole symmetry, namely a phase mapping between repulsive and attractive interactions. We compare a density-ordered, Mott-insulating phase with repulsive interaction to a spin-ordered, preformed pair phase and found excellent agreement with the theoretical prediction. The precise control and excellent detection capability of our quantum gas apparatus allow us to validate the particle-hole symmetry, and utilise it to explore quantum phases with a novel approach. Next, we investigate the spin-ordering on the repulsive side. By implementing a novel scheme based on coherent manipulation of spin correlations, we probe the anti-ferromagnetic ordering in the low-temperature phase diagram. The momentum-resolved spin correlations permit the reconstruction of spatial correlators without site-resolved imaging fidelity. Finally, we probe the attractive side of the phase diagram with a focus in pairing phenomenon, in which we draw a close analogy with BCS-BEC crossovers present in high-temperature superconducting cuprates and trapped ultracold Fermi gases. From the pair correlation function derived from thermodynamics observables, we observe the competition between the effective Pauli repulsion in fermionic systems and the on-site attraction we implemented.},
url = {}

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