Title: ADAPTIVE QUANTUM OPTIMIZATION ALGORITHMS FOR ISING-LIKE MODELS
Speaker: Robert Joynt, University of Wisconsin-Madison
Time: 10:00 am, Jun 9th (Friday) 2023
Location: 理科楼C302
Abstract: Quantum optimization is one of the most promising applications of quantum computing. They are ultimately based on the variational and adiabatic principles of quantum evolutions. The applications of these principles run into difficulties such as expressibility, locality, and barren plateaus. This presentation will show how to use adaptive algorithms to mitigate these problems.
Bio: Robert Joynt received his Ph.D. from the University of Maryland in 1982 and was a postdoctoral fellow at the Cavendish Laboratory of the University of Cambridge and the Institute for Theoretical Physics at ETH-Zurich. Since 1986, he has been Professor of Physics at the University of Wisconsin-Madison. He is also a Senior Fellow at the Kavli Institute for Theoretical Sciences in Beijing. His research has ranged from the quantum Hall effect to high-Tc superconductivity to neutron stars to quantum computing.