Hybrid Quantum Optimization for Energy Systems: From Quantum Dynamics to Practical Applications
IEEE Section Night
Hybrid Quantum Optimization for Energy Systems: From Quantum Dynamics to Practical Applications
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 adiabatic evolution and Quantum Hamiltonian Descent—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.
Date and Time
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- 1947 N. 12th Street
- Philadelphia, Pennsylvania
- United States 19122
- Building: Temple University College of Engineering
- Room Number: TBA
- Starts 22 July 2025 04:00 AM UTC
- Ends 21 October 2025 04:00 AM UTC
- Admission fee ?
Speakers
Lei Fan
Hybrid Quantum Optimization for Energy Systems: From Quantum Dynamics to Practical Applications
Biography:
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.
Address:United States
Agenda
Presentation plus Q&A: 7:00 - 8:30 P.M.
PDH certificates are available and an evaluation form will be emailed to you after the meeting. PDH certificate are sent by IEEE USA 3-4 weeks after the meeting.