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Integrated lithium niobate microwave photonic processing engine

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

132 Downloads (CityUHK Scholars)

Abstract

Integrated microwave photonics (MWP) is an intriguing technology for the generation, transmission and manipulation of microwave signals in chip-scale optical systems1,2. In particular, ultrafast processing of analogue signals in the optical domain with high fidelity and low latency could enable a variety of applications such as MWP filters3–5, microwave signal processing6–9 and image recognition10,11. An ideal integrated MWP processing platform should have both an efficient and high-speed electro-optic modulation block to faithfully perform microwave–optic conversion at low power and also a low-loss functional photonic network to implement various signal-processing tasks. Moreover, large-scale, low-cost manufacturability is required to monolithically integrate the two building blocks on the same chip. Here we demonstrate such an integrated MWP processing engine based on a 4 inch wafer-scale thin-film lithium niobate platform. It can perform multipurpose tasks with processing bandwidths of up to 67 GHz at complementary metal–oxide–semiconductor (CMOS)-compatible voltages. We achieve ultrafast analogue computation, namely temporal integration and differentiation, at sampling rates of up to 256 giga samples per second, and deploy these functions to showcase three proof-of-concept applications: solving ordinary differential equations, generating ultra-wideband signals and detecting edges in images. We further leverage the image edge detector to realize a photonic-assisted image segmentation model that can effectively outline the boundaries of melanoma lesion in medical diagnostic images. Our ultrafast lithium niobate MWP engine could provide compact, low-latency and cost-effective solutions for future wireless communications, high-resolution radar and photonic artificial intelligence.

© The Author(s), under exclusive licence to Springer Nature Limited 2024
Original languageEnglish
Pages (from-to)80-87
Number of pages8
JournalNature
Volume627
Issue number8002
Online published28 Feb 2024
DOIs
Publication statusPublished - 7 Mar 2024

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive licence to Springer Nature Limited 2024.

Funding

We thank H. K. Tsang for the use of the high-speed measurement equipment. We thank C. F. Yeung, S. Y. Lao, C. W. Lai and L. Ho at the Nanosystem Fabrication Facility at the Hong Kong University of Science and Technology for technical support with the stepper lithography and plasma-enhanced chemical vapour deposition process. We thank W. H. Wong and K. Shum at CityU for their help in device fabrication and measurement. This work is supported by the National Natural Science Foundation of China (grant no. 61922092), the Research Grants Council, University Grants Committee (grant nos. CityU 11204820, CityU 21208219, N_CityU113/20 and C1002-22Y), the Croucher Foundation (grant no. 9509005), the Innovation and Technology Fund (grant no. ITS/226/21FP) and the City University of Hong Kong (grant nos. 9610402 and 9610455).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Publisher's Copyright Statement

  • COPYRIGHT TERMS OF DEPOSITED POSTPRINT FILE: This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1038/s41586-024-07078-9.

RGC Funding Information

  • RGC-funded

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