A fully programmable on-chip planar waveguide for machine learning

Martin Stein; Tatsuhiro Onodera; Benjamin A. Ash; Mandar M. Sohoni; Melissa Bosch; Ryotatsu Yanagimoto; Marc Jankowski; Timothy P. McKenna; Tianyu Wang; Gennady B. Shvets; Maxim R. Shcherbakov; Logan Gary Wright; Peter L. McMahon

doi:10.1117/12.3025749

13 March 2024 A fully programmable on-chip planar waveguide for machine learning

Martin Stein, Tatsuhiro Onodera, Benjamin A. Ash, Mandar M. Sohoni, Melissa Bosch, Ryotatsu Yanagimoto, Marc Jankowski, Timothy P. McKenna, Tianyu Wang, Gennady B. Shvets, Maxim R. Shcherbakov, Logan Gary Wright, Peter L. McMahon

Author Affiliations +

Proceedings Volume PC12903, AI and Optical Data Sciences V; PC1290311 (2024) https://doi.org/10.1117/12.3025749
Event: SPIE OPTO, 2024, San Francisco, California, United States

Conference Poster

Abstract

We report on the realization of an on-chip waveguide platform capable of creating arbitrary two-dimensional refractive index profiles in situ and in real-time. The device exhibits complex multimode dynamics which we train to perform machine learning. We tune the refractive index profile in situ using a backpropagation algorithm to perform audio and image classification with up to 50-dimensional inputs. The two-dimensional programmability is realized by sandwiching a photoconductive film and a lithium niobate slab waveguide between two flat electrodes. While applying voltage between the electrodes, we program the effective index of the waveguide by projecting different light patterns onto the photoconductive film. The effective index increases by 10^-3 in illuminated regions via the electro-optic effect, free from any measurable memory effects or cyclic degradation. In conclusion, we developed a photonics platform with versatile spatial programmability that opens new avenues for optical computing and photonic inverse-design.

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Martin Stein, Tatsuhiro Onodera, Benjamin A. Ash, Mandar M. Sohoni, Melissa Bosch, Ryotatsu Yanagimoto, Marc Jankowski, Timothy P. McKenna, Tianyu Wang, Gennady B. Shvets, Maxim R. Shcherbakov, Logan Gary Wright, and Peter L. McMahon "A fully programmable on-chip planar waveguide for machine learning", Proc. SPIE PC12903, AI and Optical Data Sciences V, PC1290311 (13 March 2024); https://doi.org/10.1117/12.3025749

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