About the reviewers
(Prof., Dr. rer. nat, graduate physicist, *1971) is a full professor at the Faculty of Economics at the Baden-Württemberg Cooperative State University in Stuttgart. From 1990–1995, he studied physics at the University of Tübingen and the State University of New York at Stony Brook; in 1998, he graduated as Dr. rer. nat. From 1998 to 2018, he was employed by several commercial banks and then for 17 years at Deutsche Bundesbank. There, he was in charge of the banking audits division for many years.
Gerhard Hellstern has been involved in the application of data science methods (data analytics as well as machine and deep learning) in finance for many years. These methods also include quantum computing as well as quantum machine learning based on it. He is a Qiskit advocate at IBM and a member of the research network Quantum Computing of the Fraunhofer Gesellschaft, Germany. His current research focuses on applications of quantum computing and quantum machine learning in the financial sector and beyond and he has published several papers in this domain.
is an inquisitive person with a lifelong passion for science. He is currently focusing and researching quantum computing technologies and algorithms, focusing on the intersection of quantum computing and AI. He leads Quantum AI research at Fractal Analytics. He has over 5 years’ research experience in quantum computing and technologies and 18 years' experience in machine learning and artificial intelligence. He possesses a Master’s in quantum computing technologies from the Technical University of Madrid and a Master's in innovation and entrepreneurship from HEC Paris. He is also an IBM Quantum advocate and educator and his research interests include quantum computing, quantum machine learning, machine learning, and AI because it is fascinating to ponder the greatest questions of our age and catch a glimpse of how the world would look in the future.
