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Optimal quantum engineering

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PhDThesisZoller2018. ... (19.77Mb)
Erstveröffentlichung
2018-10-19
Authors
Zoller, Jonathan
Referee
Montangero, Simone
Freyberger, Matthias
Dissertation


Faculties
Fakultät für Naturwissenschaften
Institutions
Institut für Komplexe Quantensysteme
Institut für Quantenphysik
Abstract
Optimal control of complex quantum systems in theory and experiment is the focus of this thesis. The theoretical aspect of our work was concerned with the development of algorithms that are capable of precisely tailoring the shapes of control pulses to meet various control goals while respecting all physical constraints, both fundamental and problem specific. Having these effective tools at hand, we computed control inputs for a range of physical systems using simulation-based time propagation. We extended the dressed chopped random basis (dCRAB) optimization method, previously developed in our group, such that boundary conditions and other constraints that arise from experimental setups of quantum systems can be regarded. Therefore, we wrote a software suite that enables experimentalists to improve their control pulses by directly interfacing the lab with our control algorithm.
Date created
2018
Subject headings
[GND]: Casimir-Effekt | Optimale Kontrolle | Quantenphysik | Robuste Regelung
[LCSH]: Quantum theory | Casimir effect | Computer algorithms | Robust control
[Free subject headings]: Quantum physics | Control algorithms | Ultracold atom experiment | Nitrogen vacancy (NV) color center in diamond | Central moment dynamics | Remote dCRAB optimization (RedCRAB) | Experimental control | Dynamical Casimir effect | Optimal control
[DDC subject group]: DDC 530 / Physics
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https://oparu.uni-ulm.de/xmlui/license_v3

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DOI & citation

Please use this identifier to cite or link to this item: http://dx.doi.org/10.18725/OPARU-10199

Zoller, Jonathan (2018): Optimal quantum engineering. Open Access Repositorium der Universität Ulm und Technischen Hochschule Ulm. Dissertation. http://dx.doi.org/10.18725/OPARU-10199
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