Edge detection for analog computing with nonlinear generation

Title:
Edge detection for analog computing with nonlinear generation

Speaker:
Dr Olga Sergaeva

Department of Information Engineering, university of Brescia, Italy

Abstract:

Computer signal processing has transformed our world but is limited by the power consumption and speed constraints of analog-to-digital converters. Optical analog computing has recently emerged as a promising alternative, offering real-time, low-power data processing with a small footprint. While most prior studies have focused on linear optics, we propose utilizing nonlinear processes. Here we introduce theoretical approaches for spatial and temporal edge detection based on nonlinear processes, relying on the χ(2)-tensor properties in GaAs thin films. Specifically, we focus on ultrafast event detection with THz signals generated via the difference-frequency generation process.

Biography:

Olga Sergaeva is a postdoctoral researcher at the Department of Information Engineering of the University of Brescia (Italy) (since 2022). She received her BS (2008), MS (2010), and PhD (2013) at ITMO University (St. Petersburg, Russia). She completed a postdoctoral fellowship (2016-2018) at the University of Missouri (Columbia, MO, USA) and worked as a Research Fellow and an Assistant Professor (2019-2023) at ITMO University (St. Petersburg, Russia). Her research interests include nanophotonics, nonlinear optics, ultrafast light-matter interaction, and reconfigurable metasurface