Getting Started With Quantum Bayesian Networks in Python and Qiskit


QBNs are great tools to get started with quantum machine learning. They are intuitive, easy to understand, yet, they use fundamental quantum computing concepts

Background Knowledge:
Python, Probability Theory


Frank Zickert is Quantum machine learning engineer and the author of Hands-On Quantum Machine Learning With Python. He teaches quantum machine learning in an accessible way to help those without a degree in math or physics to get started in the field.

In his research, Frank strives to use quantum machine learning to advance the field of knowledge graph-based natural language processing. He is also the Chief Technology Officer of Ihr MPE B+C where he supports medical physicists to provide radiation protection services for clinical customers. Previously he worked at Aperto-An IBM Company and Deutsche Bank.

Frank earned his Ph.D. in Information Systems Development from Goethe University Frankfurt am Main, Germany.

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