Scalable Non‐Volatile Tuning of Photonic Computational Memories by Automated Silicon Ion Implantation

Abstract: Photonic integrated circuits (PICs) are revolutionizing the realm of information technology, promising unprecedented speeds and efficiency in data processing and optical communication. However, the nanoscale precision required to fabricate these circuits at scale presents significant challenges, due to the need to maintain consistency across wavelength‐selective components, which necessitates individualized adjustments after fabrication. Harnessing spectral alignment by automated silicon ion implantation, in this work scalable and non‐volatile photonic computational memories are demonstrated in high‐quality resonant devices. Precise spectral trimming of large‐scale photonic ensembles from a few picometers to several nanometres is achieved with long‐term stability and marginal loss penalty. Based on this approach, spectrally aligned photonic memory and computing systems for general matrix multiplication are demonstrated, enabling wavelength multiplexed integrated architectures at large scales.

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
Scalable Non‐Volatile Tuning of Photonic Computational Memories by Automated Silicon Ion Implantation ; day:07 ; month:12 ; year:2023 ; extent:11
Advanced materials ; (07.12.2023) (gesamt 11)

Creator
Varri, Akhil
Taheriniya, Shabnam
Brückerhoff‐Plückelmann, Frank
Bente, Ivonne
Farmakidis, Nikolaos
Bernhardt, Daniel
Rösner, Harald
Kruth, Maximilian
Nadzeyka, Achim
Richter, Torsten
Wright, Christopher David
Bhaskaran, Harish
Wilde, Gerhard
Pernice, Wolfram

DOI
10.1002/adma.202310596
URN
urn:nbn:de:101:1-2023120814214987820301
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:33 AM CEST

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