Speaker
Prof.
Keun-Young Kim
(GIST)
Description
According to the holographic principle—one of the most influential frameworks in contemporary physics—gravitational physics in a bulk spacetime is dual to the quantum physics of a system defined on its boundary. We employ a deep learning approach to reconstruct the bulk spacetime geometry from boundary quantum data, such as conductivity and entanglement entropy. This method offers novel insights into the properties of quantum matter through their dual spacetime interpretation. Because our deep learning approach generalizes to a wide range of problems involving differential equations and integral formulations, it holds broad utility for diverse applications across physics and engineering.
