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Silicon-Based Metastructure Optical Scattering Multiply–Accumulate Computation Chip

Optical neural networks (ONN) have become the most promising solution to replacing electronic neural networks, which have the advantages of large bandwidth, low energy consumption, strong parallel processing ability, and super high speed. Silicon-based micro-nano integrated photonic platforms have d...

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Autores principales: Liu, Xu, Zhu, Xudong, Wang, Chunqing, Cao, Yifan, Wang, Baihang, Ou, Hanwen, Wu, Yizheng, Mei, Qixun, Zhang, Jialong, Cong, Zhe, Liu, Rentao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9268426/
https://www.ncbi.nlm.nih.gov/pubmed/35807971
http://dx.doi.org/10.3390/nano12132136
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author Liu, Xu
Zhu, Xudong
Wang, Chunqing
Cao, Yifan
Wang, Baihang
Ou, Hanwen
Wu, Yizheng
Mei, Qixun
Zhang, Jialong
Cong, Zhe
Liu, Rentao
author_facet Liu, Xu
Zhu, Xudong
Wang, Chunqing
Cao, Yifan
Wang, Baihang
Ou, Hanwen
Wu, Yizheng
Mei, Qixun
Zhang, Jialong
Cong, Zhe
Liu, Rentao
author_sort Liu, Xu
collection PubMed
description Optical neural networks (ONN) have become the most promising solution to replacing electronic neural networks, which have the advantages of large bandwidth, low energy consumption, strong parallel processing ability, and super high speed. Silicon-based micro-nano integrated photonic platforms have demonstrated good compatibility with complementary metal oxide semiconductor (CMOS) processing. Therefore, without completely changing the existing silicon-based fabrication technology, optoelectronic hybrid devices or all-optical devices of better performance can be achieved on such platforms. To meet the requirements of smaller size and higher integration for silicon photonic computing, the topology of a four-channel coarse wavelength division multiplexer (CWDM) and an optical scattering unit (OSU) are inversely designed and optimized by Lumerical software. Due to the random optical power splitting ratio and incoherency, the intensities of different input signals from CWDM can be weighted and summed directly by the subsequent OSU to accomplish arbitrary multiply–accumulate (MAC) operations, therefore supplying the core foundation for scattering ONN architecture.
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spelling pubmed-92684262022-07-09 Silicon-Based Metastructure Optical Scattering Multiply–Accumulate Computation Chip Liu, Xu Zhu, Xudong Wang, Chunqing Cao, Yifan Wang, Baihang Ou, Hanwen Wu, Yizheng Mei, Qixun Zhang, Jialong Cong, Zhe Liu, Rentao Nanomaterials (Basel) Article Optical neural networks (ONN) have become the most promising solution to replacing electronic neural networks, which have the advantages of large bandwidth, low energy consumption, strong parallel processing ability, and super high speed. Silicon-based micro-nano integrated photonic platforms have demonstrated good compatibility with complementary metal oxide semiconductor (CMOS) processing. Therefore, without completely changing the existing silicon-based fabrication technology, optoelectronic hybrid devices or all-optical devices of better performance can be achieved on such platforms. To meet the requirements of smaller size and higher integration for silicon photonic computing, the topology of a four-channel coarse wavelength division multiplexer (CWDM) and an optical scattering unit (OSU) are inversely designed and optimized by Lumerical software. Due to the random optical power splitting ratio and incoherency, the intensities of different input signals from CWDM can be weighted and summed directly by the subsequent OSU to accomplish arbitrary multiply–accumulate (MAC) operations, therefore supplying the core foundation for scattering ONN architecture. MDPI 2022-06-21 /pmc/articles/PMC9268426/ /pubmed/35807971 http://dx.doi.org/10.3390/nano12132136 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liu, Xu
Zhu, Xudong
Wang, Chunqing
Cao, Yifan
Wang, Baihang
Ou, Hanwen
Wu, Yizheng
Mei, Qixun
Zhang, Jialong
Cong, Zhe
Liu, Rentao
Silicon-Based Metastructure Optical Scattering Multiply–Accumulate Computation Chip
title Silicon-Based Metastructure Optical Scattering Multiply–Accumulate Computation Chip
title_full Silicon-Based Metastructure Optical Scattering Multiply–Accumulate Computation Chip
title_fullStr Silicon-Based Metastructure Optical Scattering Multiply–Accumulate Computation Chip
title_full_unstemmed Silicon-Based Metastructure Optical Scattering Multiply–Accumulate Computation Chip
title_short Silicon-Based Metastructure Optical Scattering Multiply–Accumulate Computation Chip
title_sort silicon-based metastructure optical scattering multiply–accumulate computation chip
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9268426/
https://www.ncbi.nlm.nih.gov/pubmed/35807971
http://dx.doi.org/10.3390/nano12132136
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