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Thomas Engl

Researcher at University of Regensburg

Publications -  17
Citations -  267

Thomas Engl is an academic researcher from University of Regensburg. The author has contributed to research in topics: Semiclassical physics & Fock space. The author has an hindex of 9, co-authored 17 publications receiving 229 citations.

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Coherent backscattering in Fock space: a signature of quantum many-body interference in interacting bosonic systems.

TL;DR: A generic signature of quantum interference in many-body bosonic systems resulting in a coherent enhancement of the average return probability in Fock space is predicted and compared to exact quantum evolution probabilities in Bose-Hubbard models to confirm their relevance in the context of many- body thermalization.
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Periodic mean-field solutions and the spectra of discrete bosonic fields: Trace formula for Bose-Hubbard models.

TL;DR: While quantum effects such as vacuum fluctuations and gauge invariance are exactly accounted for, the semiclassical approach captures quantum interference and therefore is valid well beyond the Ehrenfest time where naive quantum-classical correspondence breaks down.
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Density of states of chaotic Andreev billiards

TL;DR: In this article, the authors used a semiclassical framework for systems with chaotic dynamics, and showed how this reflection, along with the interference due to subtle correlations between the classical paths of electrons and holes inside the system, are ultimately responsible for the gap formation.
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The semiclassical propagator in fermionic Fock space

TL;DR: In this article, the authors present a rigorous derivation of a semiclassical propagator for anticommuting (fermionic) degrees of freedom, starting from an exact representation in terms of Grassmann variables.
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The semiclassical propagator in fermionic Fock space

TL;DR: In this paper, the authors presented a rigorous derivation of a semiclassical propagator for anticommuting (fermionic) degrees of freedom, starting from an exact representation in terms of Grassmann variables.