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Terahertz pulse shaping using diffractive networks

Authors :
Aydogan Ozcan
Deniz Mengu
Nezih T. Yardimci
Mona Jarrahi
Yair Rivenson
Jingxi Li
Muhammed Veli
Yi Luo
Source :
AI and Optical Data Sciences II.
Publication Year :
2021
Publisher :
SPIE, 2021.

Abstract

We present a diffractive network, trained for pulse engineering to shape input pulses into desired optical waveforms. The synthesis of square-pulses with various widths was experimentally demonstrated with 3D-fabricated passive diffractive layers that control both the amplitude and phase profile of the input terahertz pulse across a wide range of frequencies. Pulse-width tunability was also demonstrated by altering the layer-to-layer distances of a diffractive network. Furthermore, the modularity of this framework was demonstrated by replacing part of an already-trained network with newly-trained layers to tune the width of the output terahertz pulse, presenting a Lego-like physical transfer learning approach.

Details

Database :
OpenAIRE
Journal :
AI and Optical Data Sciences II
Accession number :
edsair.doi...........0d46cc58bf6904588407755a2dd0ab34