Broadband diffractive optical networks

Yi Luo; Deniz Mengu; Nezih T. Yardimci; Yair Rivenson; Muhammed Veli; Mona Jarrahi; Aydogan Ozcan

doi:10.1117/12.2580651

5 March 2021 Broadband diffractive optical networks

Yi Luo, Deniz Mengu, Nezih T. Yardimci, Yair Rivenson, Muhammed Veli, Mona Jarrahi, Aydogan Ozcan

Proceedings Volume 11703, AI and Optical Data Sciences II; 1170311 (2021) https://doi.org/10.1117/12.2580651
Event: SPIE OPTO, 2021, Online Only

Abstract

We report a broadband diffractive optical network that can simultaneously process a continuum of wavelengths. To demonstrate its success, we designed and experimentally validated a series of broadband networks to create single/dual passband spectral filters and a spatially-controlled wavelength de-multiplexer that are composed of deep learning-designed diffractive layers to spatially and spectrally engineer the output light. The resulting designs were 3D-printed and tested using a terahertz time-domain-spectroscopy system to demonstrate the match between their numerical and experimental output. Broadband diffractive networks diverge from intuitive/analytical designs, creating unique optical systems to perform deterministic tasks and statistical inference for machine learning applications.

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Yi Luo, Deniz Mengu, Nezih T. Yardimci, Yair Rivenson, Muhammed Veli, Mona Jarrahi, and Aydogan Ozcan "Broadband diffractive optical networks", Proc. SPIE 11703, AI and Optical Data Sciences II, 1170311 (5 March 2021); https://doi.org/10.1117/12.2580651

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KEYWORDS

Optical networks

Broadband telecommunications

Optical design

Terahertz spectroscopy

Neural networks

Optical filters

Optimization (mathematics)

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