Topic: Quantum Computing for Computational Science and Engineering: Potential, Challenges, and Pathways to Applications
Abstract:
Quantum computing (QC) is an emerging compute technology that has the potential to radically change the way we will be solving computational problems in the future. The potential power of QC stems from the exploitation of quantum mechanical principles, namely, superposition of states, entanglement and quantum parallelism. With properly designed quantum algorithms that fully exploit these properties it will be possible to solve certain types of computational problems faster or with less compute resources compared to classical counterparts. However, this requires the complete redesign of the solution procedure from scratch rather than a simple "porting" of classical algorithms to quantum computers. In this talk, I will give an overview of potential applications that might benefit from transitioning to quantum computers at least in parts. I will discuss two particular applications in more detail: The first one is computational fluid dynamics which is omnipresent in engineering and many other disciplines such a biomedical applications and numerical weather forecasting. The second application is power flow analysis and optimization which is at the core of planning and operating electric grid.
Biography:
Matthias Möller is an Associate Professor of Numerical Analysis in the Department of Applied Mathematics at Delft University of Technology (TU Delft), where he serves as the Scientific Director of the TU Delft Institute for Computational Science and Engineering (DCSE). His research bridges mathematical modeling, numerical analysis, and high-performance computing, with a focus on numerical methods for differential equations and their efficient implementation on emerging computing architectures. He has a particular interest in quantum algorithms and their applications in computational fluid dynamics and power flow analysis.
