Getting Started With Quantum Bayesian Networks in Python and Qiskit

Abstract: 

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

Bio: 

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.

Open Data Science

 

 

 

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Cambridge, MA 02142
info@odsc.com

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