Journal article
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.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 3.9MB, Terms of use)
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- Publisher copy:
- 10.1002/adma.202310596
Authors
- Publisher:
- Wiley
- Journal:
- Advanced Materials More from this journal
- Volume:
- 36
- Issue:
- 8
- Article number:
- 2310596
- Place of publication:
- Germany
- Publication date:
- 2023-12-07
- Acceptance date:
- 2023-11-21
- DOI:
- EISSN:
-
1521-4095
- ISSN:
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0935-9648
- Pmid:
-
37997459
- Language:
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English
- Keywords:
- Pubs id:
-
1571802
- Local pid:
-
pubs:1571802
- Deposit date:
-
2024-05-20
Terms of use
- Copyright holder:
- Varri et al.
- Copyright date:
- 2023
- Rights statement:
- © 2023 The Authors. Advanced Materials published by Wiley-VCH GmbH. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
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