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In Episode 53, Patrick and Ciprian speak with Dr. Johannes Oberreuter, Data Science Technical Lead at Machine Learning Reply.
Among other topics, the team discuss classical neural networks, quantum networks, hybrid approaches, and the ongoing reduction of resource needs and improving accuracy of neural networks.
Dr. Johannes Oberreuter works as a Data Science Technical Lead at Machine Learning Reply and he is co-leading the Quantum Computing practice in Reply. He has been studying physics and mathematics in Munich (Diploma of Physics), Heidelberg and Cambridge (Master of Advanced Study in Mathematics) and has obtained his PhD in theoretical physics at the university of Amsterdam on quantum effects in the early universe. He has also conducted research at the University of Göttingen and TU Munich on quantum dynamics.
In Episode 53, Patrick and Ciprian speak with Dr. Johannes Oberreuter, Data Science Technical Lead at Machine Learning Reply.
Among other topics, the team discuss classical neural networks, quantum networks, hybrid approaches, and the ongoing reduction of resource needs and improving accuracy of neural networks.
Dr. Johannes Oberreuter works as a Data Science Technical Lead at Machine Learning Reply and he is co-leading the Quantum Computing practice in Reply. He has been studying physics and mathematics in Munich (Diploma of Physics), Heidelberg and Cambridge (Master of Advanced Study in Mathematics) and has obtained his PhD in theoretical physics at the university of Amsterdam on quantum effects in the early universe. He has also conducted research at the University of Göttingen and TU Munich on quantum dynamics.
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