Stefan Woerner is a Research Staff Member and Technical Leader – Quantum Optimization in the Quantum Technologies group of the Science & Technology department at IBM Research – Zurich. He received a Master of Science in Applied Mathematics from ETH Zurich in 2010, and a Doctor of Sciences in Operations Management from ETH Zurich in 2013 for his thesis on Convex Optimization in Supply Chain Management. The focus of his research is the development and analysis of quantum algorithms for optimization and machine learning as well as their practical applications, e.g., in finance or supply chain management.
Applying Quantum Computing to the Finance Industry
In five years, the effects of quantum computing will reach beyond the research lab to solve problems once considered unsolvable.
In this talk I will introduce quantum computing and its applications in optimization and machine learning with a particular focus on the financial industry, where quantum computers could eventually help to speed up solving problems such as pricing, risk analysis, or portfolio optimization.