Paper
12 March 2024 Optimized encoding for coherent communication using photonic crystal cavity IQ modulators in thin film lithium niobate
Author Affiliations +
Abstract
Thin Film Lithium Niobate (TFLN) photonic integrated circuits offer several improvements over other platforms in terms of material loss, energy efficiency, and operational bandwidth. We review our recent demonstration of quadrature phase shift keying in an ultrasmall TFLN photonic crystal-based IQ modulator. Our modulator features a footprint of 40 × 200 μm2 along with quality factors approaching 105 providing it with a Vπ = 1.16 V [H. Larocque et al. CLEO 2023, paper STh1R.3; H. Larocque et al. arXiv:2312.16746]. We discuss an extension to and optimization of quadrature amplitude modulation encoding schemes tailored to the device’s voltage response, including the use of a deep neural network for streamlining bit error rate minimization.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Dashiell L. P. Vitullo, Sanjaya Lohani, Hugo Larocque, Alexander Sludds, Hamed Sattari, Ian Christen, Gregory Choong, Ivan Prieto, Jacopo Leo, Homa Zarebidaki, Moe Soltani, Thomas A. Searles, Amir H. Ghadimi, Brian T. Kirby, Mikkel Heuck, and Dirk R. Englund "Optimized encoding for coherent communication using photonic crystal cavity IQ modulators in thin film lithium niobate", Proc. SPIE 12871, Laser Resonators, Microresonators, and Beam Control XXVI, 1287107 (12 March 2024); https://doi.org/10.1117/12.3011172
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KEYWORDS
Modulators

Electrooptic modulators

Lithium niobate

Neurons

Photonic crystals

Thin films

Telecommunications

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