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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, 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