On-Surface Atom Manipulation for Simulating Quantum Many-Body States
ORAL
Abstract
Atom manipulation on surfaces, enabled by scanning tunneling microscopy (STM), allows the precise positioning of individual atoms and molecules to construct artificial lattices with atomic-scale control. These designer quantum structures offer a powerful platform for simulating many-body systems such as the Hubbard model. We will present our recent results on the realization of Graphitic and Kagome lattices that emulate Dirac and flat bands in two dimensions, with tunable lattice spacing beyond what is achievable through conventional synthesis. To accelerate and enhance the precision of structure construction, we have developed a deep reinforcement learning (DRL) framework that autonomously guides atom manipulation, achieving substantial improvements in speed and accuracy. We further demonstrate the control of hopping parameters, Fermi levels, boundary and defect states, showcasing how advanced STM capabilities enable the creation, control, and exploration of novel quantum states otherwise inaccessible in naturally occurring materials.
*The research was supported by the U.S. Department of Energy, Office of Basic Energy Sciences, Scientific User Facilities Division as part of the QIS Infrastructure Project and performed at the Center for Nanophase Materials Sciences.
–
Presenters
-
An-Ping Li
- Oak Ridge National Laboratory