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Lithography-free reconfigurable integrated photonic processor

Authors :
Wu, Tianwei
Menarini, Marco
Gao, Zihe
Feng, Liang
Source :
Nature Photonics; 20230101, Issue: Preprints p1-7, 7p
Publication Year :
2023

Abstract

Integrated photonics, because of its intrinsic high speed, large bandwidth and unlimited parallelism, is critical in the drive to ease the increasing data traffic. Its technological enabler is high-precision lithography, which allows for the fabrication of high-resolution photonic structures. Here, in complete contrast to the state of the art, where photonic functions are predefined by lithographically modulating the real index, we report a lithography-free paradigm for an integrated photonic processor, targeting dynamic control of spatial-temporal modulations of the imaginary index on an active semiconductor platform, without the need for lithography. We demonstrate an imaginary-index-driven methodology to tailor optical-gain distributions to rationally execute prescribed optical responses and configure desired photonic functionality to route and switch optical signals. Leveraging its real-time reconfigurability, we realize photonic neural networks with extraordinary flexibility, performing in situ training of vowel recognition with high accuracy. The programmability and multifunctionality intrinsically arising from the lithography-free characteristics can lead to a new paradigm for integrated photonic signal processing to conduct and reconfigure complex computation algorithms, accelerating the information-processing speed to achieve long-term performance requirements.

Details

Language :
English
ISSN :
17494885 and 17494893
Issue :
Preprints
Database :
Supplemental Index
Journal :
Nature Photonics
Publication Type :
Periodical
Accession number :
ejs62931890
Full Text :
https://doi.org/10.1038/s41566-023-01205-0