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Autor(en):
Yigit Serbest
Titel:
Variational Fitting of the Bath Correlation Function as a Sum of Exponential Functions
Abstract:
This thesis focuses on the decompositions of the bath correlation function using an Ohmic spectral density. The calculation of the bath correlation function yields high computational effort. Hence we used a definition consisting of a sum of exponential functions to define the bath correlation function in order to simplify the computation. The Gradient Descent Algorithm is used for the optimal approximation of the bath correlation function.
Aufgabensteller:
Prof. Dr. Christian Mendl
Betreuer:
Richard M. Milbradt
Jahr:
2025
Quartal:
1. Quartal
Jahr / Monat:
2025-03
Monat:
Mar
Sprache:
en
Hochschule / Universität:
Technical University of Munich
Fakultät:
TUM School of Computation, Information and Technology
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