Daniel Jaschke is a quantum algorithms engineer at planqc, contributing to advancements in quantum technologies. With a robust background in software development, numerical simulations, and data analysis, they earned a Ph.D. in applied physics from the Colorado School of Mines. Daniel has held various research positions, including at INFN, where they collaborated on quantum initiatives and machine learning. They also served as a postdoctoral researcher at Ulm University, focusing on simulations and software for quantum computing. Daniel's extensive academic and industrial experience underpins their expertise in the evolving field of quantum technologies.
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