001     1050096
005     20251222123500.0
024 7 _ |a 10.48550/ARXIV.2512.03588
|2 doi
037 _ _ |a FZJ-2025-05804
100 1 _ |a Ciroth, Nils
|0 P:(DE-HGF)0
|b 0
245 _ _ |a Numerical simulation of coherent spin-shuttling in a QuBus with charged defects
260 _ _ |c 2025
|b arXiv
336 7 _ |a Preprint
|b preprint
|m preprint
|0 PUB:(DE-HGF)25
|s 1766403176_24726
|2 PUB:(DE-HGF)
336 7 _ |a WORKING_PAPER
|2 ORCID
336 7 _ |a Electronic Article
|0 28
|2 EndNote
336 7 _ |a preprint
|2 DRIVER
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a Output Types/Working Paper
|2 DataCite
520 _ _ |a Recent advances in coherent conveyor-mode spin qubit shuttling are paving the way for large-scale quantum computing platforms with qubit connectivity achieved by spin qubit shuttles. We developed a simulation tool to investigate numerically the impact of device imperfections on the spin-coherence of conveyor-mode shuttling in Si/SiGe. We simulate the quantum evolution of a mobile electron spin-qubit under the influence of sparse and singly charged point defects placed in the Si/SiGe heterostructure in close proximity to the shuttle lane. We consider different locations of a single charge defect with respect to the center of the shuttle lane, multiple orbital states of the electron in the shuttle with $g$-factor differences between the orbital levels, and orbital relaxation induced by electron-phonon interaction. With this simulation framework, we identify the critical defect density of charged point defects in the heterostructure for conveyor-mode spin qubit shuttle devices and quantify the impact of a single defect on the coherence of a qubit.
536 _ _ |a 5221 - Advanced Solid-State Qubits and Qubit Systems (POF4-522)
|0 G:(DE-HGF)POF4-5221
|c POF4-522
|f POF IV
|x 0
588 _ _ |a Dataset connected to DataCite
650 _ 7 |a Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
|2 Other
650 _ 7 |a Quantum Physics (quant-ph)
|2 Other
650 _ 7 |a FOS: Physical sciences
|2 Other
700 1 _ |a Sala, Arnau
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Xue, Ran
|0 P:(DE-Juel1)186616
|b 2
700 1 _ |a Ermoneit, Lasse
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Koprucki, Thomas
|0 P:(DE-HGF)0
|b 4
700 1 _ |a Kantner, Markus
|0 P:(DE-HGF)0
|b 5
700 1 _ |a Schreiber, Lars R.
|0 P:(DE-Juel1)172641
|b 6
|u fzj
773 _ _ |a 10.48550/ARXIV.2512.03588
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-HGF)0
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 6
|6 P:(DE-Juel1)172641
913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
|1 G:(DE-HGF)POF4-520
|0 G:(DE-HGF)POF4-522
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Quantum Computing
|9 G:(DE-HGF)POF4-5221
|x 0
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)PGI-11-20170113
|k PGI-11
|l JARA Institut Quanteninformation
|x 0
980 _ _ |a preprint
980 _ _ |a EDITORS
980 _ _ |a VDBINPRINT
980 _ _ |a I:(DE-Juel1)PGI-11-20170113
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21