Pulse shaping using diffractive optical networks designed by deep learning
Muhammed Veli, Deniz Mengü, Nezih Tolga Yardimci, Yi Luo, Jingxi Li, Yair Rivenson, Mona Jarrahi, Aydogan Özcan · 2021
We utilize diffractive optical networks to design small footprint, passive pulse engineering platforms, where an input terahertz pulse is shaped into a desired output waveform as it diffracts through spatially-engineered transmissive surfaces. Using 3D-printed diffractive networks designed by deep learning, various terahertz pulses with different temporal widths are experimentally synthesized by controlling the amplitude and phase of the input pulse over a wide range of frequencies. Pulse width tunability was also demonstrated by changing the layer-to-layer distance of a 3D-printed diffractive network or by physically replacing 1-2 layers of an existing network with newly trained and fabricated diffractive layers.