Data Science Talk Series 

Hybrid Quantum Optimization for Energy Systems: From Quantum Dynamics to Practical Applications

Abstract: In this talk, we explore quantum optimization algorithms through the lens of quantum dynamics, with a focus on their application to practical challenges in energy management systems. We will highlight how quantum techniques—such as Quantum Hamiltonian Evolution—can be integrated with classical optimization frameworks to enhance decision-making in complex energy system operations. The talk will also introduce accessible quantum optimization software platforms that support hybrid quantum-classical workflows, enabling users with limited quantum expertise to model and solve energy optimization problems.

Bio of the speaker: Dr. Lei Fan is an Associate Professor in the Department of Engineering Technology and the Department of Electrical and Computer Engineering at the University of Houston. Prior to his academic appointment, he worked in the electric energy industry for several years. He earned his Ph.D. in Operations Research from the Department of Industrial and Systems Engineering at the University of Florida. His research focuses on quantum computing, optimization algorithms, and the operation and planning of complex systems, with particular emphasis on power systems.