Presentation + Paper
20 June 2024 Lithium-niobate photonic integrated circuits for GHz, sub-picojoule/bit optical image processing
J. Rasmus Bankwitz, Jelle Dijkstra, Ravi Pradip, Philipp Schultzen, Liam McRae, Julius Römer, Akhil Varri, Francesco Lenzini, Wolfram H. P. Pernice
Author Affiliations +
Abstract
Optical image processing, which capitalizes on the distinctive characteristics of light, facilitates the manipulation of visual data in real-time and at a high speed. This technology is instrumental in performing tasks such as enhancing edges, recognizing patterns, and extracting features, all of which are crucial in fields like medical imaging, surveillance, and industrial automation. In this study, we present the successful demonstration of a photonic integrated circuit (PIC) made of Lithium niobate on insulator, enabling matrix-vector multiplications for image classification. By surpassing an electrical bandwidth of 15 GHz, our experiment showcases the PIC’s ability live edge detection and video streaming. Remarkably, its energy efficiency surpasses the limit imposed by electronic systems for each operation by consuming < 10 fJ/bit.
Conference Presentation
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
J. Rasmus Bankwitz, Jelle Dijkstra, Ravi Pradip, Philipp Schultzen, Liam McRae, Julius Römer, Akhil Varri, Francesco Lenzini, and Wolfram H. P. Pernice "Lithium-niobate photonic integrated circuits for GHz, sub-picojoule/bit optical image processing", Proc. SPIE 13000, Real-time Processing of Image, Depth, and Video Information 2024, 130000G (20 June 2024); https://doi.org/10.1117/12.3022398
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KEYWORDS
Image processing

Electrooptic modulation

Photonic integrated circuits

Field programmable gate arrays

Integrated optics

Waveguides

Electrooptic modulators

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