https://doi.org/10.1051/epjconf/202430915003
Integrating artificial intelligence into the simulation of structured laser-driven high harmonic generation
1 Grupo de Investigación en Aplicaciones del Láser y Fotónica, Universidad de Salamanca, Pl. Merced s/n, Salamanca E-37008, Spain
2 Department of Physics, Colorado School of Mines, 1523 Illinois Street, Golden, CO 80401, USA
3 Optoelectronics Research Centre, University of Southampton, Southampton SO17 1BJ, UK
4 Unidad de Excelencia en Luz y Materia Estructuradas (LUMES), Universidad de Salamanca, Pl. Merced s/n 37008 Salamanca, Spain
* e-mail: jmpablosm@usal.es
Published online: 31 October 2024
High harmonic generation (HHG) stands as one of the most complex processes in strong-field physics, as it enables the conversion of laser light from the infrared to the extreme-ultraviolet or even the soft x-rays, enabling the synthesis and control of pulses lasting as short as tens of attoseconds. Accurately simulating this nonlinear and non-perturbative phenomena requires the coupling the dynamics of laser-driven electronic wavepackets, described by the three-dimensional time-dependent Schrödinger equation (3D-TDSE), with macroscopic Maxwell’s equations. Such calculations are extremely demanding due to the duality of microscopic and macroscopic nature of the process, thereby requiring the use of approximations. We develop a HHG method assisted by artificial intelligence that facilitates the simulation of macroscopic HHG within the framework of 3D-TDSE. This approach is particularly suited to simulate HHG driven by structured laser pulses. In particular, we demonstrate a self-interference effect in HHG driven by Hermite-Gauss beams. The theoretical and experimental agreement allows us to validate the AI-based model, and to identify a unique signature of the quantum nature of the HHG process.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
