All-optical Computation of a large group of linear transformations using a broadband diffractive optical network

Jingxi Li; Tianyi Gan; Bijie Bai; Yi Luo; Mona Jarrahi; Aydogan Ozcan

doi:10.1117/12.2678254

28 September 2023 All-optical Computation of a large group of linear transformations using a broadband diffractive optical network

Jingxi Li, Tianyi Gan, Bijie Bai, Yi Luo, Mona Jarrahi, Aydogan Ozcan

Author Affiliations +

Proceedings Volume PC12655, Emerging Topics in Artificial Intelligence (ETAI) 2023; PC126550O (2023) https://doi.org/10.1117/12.2678254
Event: SPIE Nanoscience + Engineering, 2023, San Diego, California, United States

Abstract

We explore the parallel information processing capacity of a broadband diffractive optical network and demonstrate that a single diffractive network could perform a large group of arbitrarily-selected, complex-valued linear transformations between its input and output fields-of-view at different wavelengths, accessed sequentially or simultaneously. Through deep learning-based training of the thickness values of its diffractive features, we demonstrate that a wavelength-multiplexed diffractive processor can implement W>180 complex-valued linear transformations with a negligible error when its number of trainable diffractive features approaches 2W×I×O, where I and O refer to the number of input and output pixels, respectively.

Conference Presentation

Citation Download Citation

Jingxi Li, Tianyi Gan, Bijie Bai, Yi Luo, Mona Jarrahi, and Aydogan Ozcan "All-optical Computation of a large group of linear transformations using a broadband diffractive optical network", Proc. SPIE PC12655, Emerging Topics in Artificial Intelligence (ETAI) 2023, PC126550O (28 September 2023); https://doi.org/10.1117/12.2678254

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