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A large scale photonic matrix processor enabled by charge accumulation

Abstract:

Integrated neuromorphic photonic circuits aim to power complex artificial neural networks (ANNs) in an energy and time efficient way by exploiting the large bandwidth and the low loss of photonic structures. However, scaling photonic circuits to match the requirements of modern ANNs still remains challenging. In this perspective, we give an overview over the usual sizes of matrices processed in ANNs and compare them with the capability of existing photonic matrix processors. To address shortc...

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Publication status:
Published
Peer review status:
Peer reviewed

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Files:
Publisher copy:
10.1515/nanoph-2022-0441

Authors


Publisher:
De Gruyter
Journal:
Nanophotonics More from this journal
Volume:
12
Issue:
5
Pages:
819-825
Publication date:
2022-10-28
Acceptance date:
2022-10-17
DOI:
EISSN:
2192-8614
ISSN:
2192-8606
Language:
English
Keywords:
Pubs id:
1301142
Local pid:
pubs:1301142
Deposit date:
2023-01-13

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