Speaker: Qiuyang Sun, PhD

  • PhD, Department of Chemistry, Princeton University, with Prof. Herschel Rabitz (2016)
  • BSc, Department of Chemistry, Fudan University (2011)

Research interests include quantum control, optimization theory and algorithms, and NMR spectroscopy.

  • Time: 10 A.m., Oct. 8
  • Room: The Institute of Cyber-Systems & Control (CSC) 304 (玉泉校区教十八智能系统与控制研究所)
  • Contact: Dr. Chao Xu, 13706711953

Abstract: Scientists have attempted for decades to efficiently control the dynamics of quantum systems on the atomic and molecular scale with modulated electromagnetic fields, and achieving specified control objectives will rely on finding the optimal pulse shapes. The success of quantum optimal control in a wide range of applications motivated the analysis of the underlying control landscape, defined by the objective value as a functional of the control field, whose topology (e.g., existence of local optima and saddle points) will dictate the ease of finding globally optimal solutions by search algorithms. Our experimental works focus on the landscapes in controlling nuclear spins by pulsed magnetic fields, with nuclear magnetic resonance (NMR) spectroscopy as a testbed. A set of methodology for control landscape studies in NMR systems is constructed, leading to the first observation of landscape saddles in the laboratory. A variety of theoretical topics about the control landscape in general will also be covered.