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Daniel Stilck França is an Associate Professor at the University of Copenhagen specializing in quantum information and computation. His research focuses on characterizing and quantifying noise in quantum systems and understanding the limits this imposes on capabilities in performing information processing and computational tasks. Additionally, he is interested in algorithms for convex optimization that are inspired by principles of quantum mechanics. Recently, his work has involved tensor networks, which are crucial for advancements in the field. Daniel completed his PhD at the Technical University of Munich under the supervision of Prof. Michael M. Wolf and has collaborated extensively in various top research areas in Europe, America, and Asia over the past five years. His academic contributions include published works and active participation in research collaborations that enhance understanding and applications of quantum technologies.
Focuses on clinical, social, and cognitive psychology.