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@PHDTHESIS{Li:1038892,
author = {Li, Boxi},
title = {{P}ractical {M}ethods for {E}fficient {A}nalytical
{C}ontrol in {S}uperconducting {Q}ubits},
volume = {290},
school = {Köln},
type = {Dissertation},
address = {Jülich},
publisher = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
reportid = {FZJ-2025-01703},
isbn = {978-3-95806-807-0},
series = {Schriften des Forschungszentrums Jülich Reihe
Schlüsseltechnologien / Key Technologies},
pages = {202},
year = {2025},
note = {Dissertation, Köln, 2024},
abstract = {Quantum technology is at the forefront of revolutionizing
information processing by exploiting the principles of
quantum mechanics to perform operations infeasible for its
classical counterparts. As this field shifts from pure
scientific exploration to practical application, developing
advanced quantum control techniques becomes critical for
precise and reliable quantum system manipulation. This
thesis focuses on analytical quantum control techniques to
enhance the performance of superconducting qubits, a leading
architecture in quantum information processing. Due to their
simplicity and efficiency, the model-based analytical
methods discussed are particularly advantageous for
experimental integration. The thesis covers three aspects of
quantum control: system modelling, control scheme design,
and performance benchmarking. It starts by discussing the
efficient modelling of quantum systems, aiming to reduce the
dimension of the model while keeping the essential features
of the dynamics. Here, to build more accurate and efficient
models, the traditional perturbative approach is generalized
by adopting the recursive structure and the exact
diagonalization of a two-by-two matrix via Givens rotation.
Building upon these modelling methods, the thesis addresses
the dynamic control errors in quantum operations, including
leakage, crosstalk, and other control errors in
superconducting qubits. Based on the Derivative Removal by
Adiabatic Gate (DRAG) framework, several applications are
studied for two-qubit gates, multi-level qudit, and
inter-qubit crosstalk. The key insight is to use the
recursive formulation, which allows the integration of
multiple DRAG corrections to address different errors
simultaneously while maintaining simplicity and practicality
for experimental calibration. Lastly, to validate the
performance of control methods, the thesis introduces a new
simulation tool for quantum circuits at the pulse level,
based on the widely used software package Quantum Toolbox in
Python (QuTiP). This tool incorporates realistic control
errors and dissipation, aiding in the design, testing, and
practical implementation of quantum control strategies in
real-world settings.},
cin = {PGI-8},
cid = {I:(DE-Juel1)PGI-8-20190808},
pnm = {5221 - Advanced Solid-State Qubits and Qubit Systems
(POF4-522) / BMBF 13N16149 - QSolid (BMBF-13N16149)},
pid = {G:(DE-HGF)POF4-5221 / G:(DE-Juel1)BMBF-13N16149},
typ = {PUB:(DE-HGF)3 / PUB:(DE-HGF)11},
urn = {urn:nbn:de:0001-2503171107453.419403121030},
doi = {10.34734/FZJ-2025-01703},
url = {https://juser.fz-juelich.de/record/1038892},
}