@article{JohanningBraunTimoneyetal.2009, author = {Johanning, M. and Braun, Alexander and Timoney, N. and Elman, V. and Neuhauser, W. and Wunderlich, Chr}, title = {Individual addressing of trapped ions and coupling of motional and spin states using RF radiation}, series = {Physical review letters}, volume = {102}, journal = {Physical review letters}, number = {7}, publisher = {American Physical Society}, issn = {1079-7114}, doi = {10.1103/PhysRevLett.102.073004}, year = {2009}, abstract = {Individual electrodynamically trapped and laser cooled ions are addressed in frequency space using radio-frequency radiation in the presence of a static magnetic field gradient. In addition, an interaction between motional and spin states induced by an rf field is demonstrated employing rf optical double resonance spectroscopy. These are two essential experimental steps towards realizing a novel concept for implementing quantum simulations and quantum computing with trapped ions.}, language = {en} } @article{JohanningBraunEiteneueretal.2011, author = {Johanning, M. and Braun, Alexander and Eiteneuer, D. and Paape, C. and Balzer, C. and Neuhauser, W. and Wunderlich, C.}, title = {Resonance-enhanced isotope-selective photoionization of YbI for ion trap loading}, series = {Applied Physics B}, volume = {103}, journal = {Applied Physics B}, number = {2}, publisher = {Springer Nature}, issn = {1432-0649}, doi = {10.1007/s00340-011-4502-7}, pages = {327 -- 338}, year = {2011}, language = {en} } @article{SieberichsGeerkensBraunetal.2024, author = {Sieberichs, Christian and Geerkens, Simon and Braun, Alexander and Waschulzik, Thomas}, title = {ECS: an interactive tool for data quality assurance}, series = {AI and Ethics}, journal = {AI and Ethics}, publisher = {Springer Nature}, issn = {2730-5961}, doi = {10.1007/s43681-023-00393-3}, year = {2024}, abstract = {With the increasing capabilities of machine learning systems and their potential use in safety-critical systems, ensuring high-quality data is becoming increasingly important. In this paper, we present a novel approach for the assurance of data quality. For this purpose, the mathematical basics are first discussed and the approach is presented using multiple examples. This results in the detection of data points with potentially harmful properties for the use in safety-critical systems.}, language = {en} }