Parallel optical computing capable of 100-wavelength multiplexing.
Uložené v:
| Názov: | Parallel optical computing capable of 100-wavelength multiplexing. |
|---|---|
| Autori: | Yu, Xiao, Wei, Ziqi, Sha, Fangyuan, Wang, Xinyu, Chu, Yanqi, Wang, Zhen, Han, Xilin, Wang, Hongwei, Yi, Shulan, Cheng, Yuhu, Hu, Guangwei, Xie, Peng |
| Zdroj: | eLight; 6/17/2025, Vol. 5 Issue 1, p1-10, 10p |
| Predmety: | OPTICAL computing, WAVELENGTH division multiplexing, ARTIFICIAL intelligence, OPTICAL solitons, INTERFEROMETERS, PARALLEL programming, HIGH performance computing |
| Abstrakt: | In the era of artificial intelligence, the computing hardware is of critical importance, with various new modalities explored. Information processing using photons, with abundant intrinsic degrees of freedom, as the carrier could embrace low loss, high speed, low latency, low power consumption, and high parallelism. Here, harvesting the intrinsic frequency channels, we propose and demonstrate a parallel optical computing architecture powered by a soliton microcomb source, a broadband Mach–Zehnder interferometer (MZI) mesh and a parallel MZI mesh computing model. The examinations validate the system's capability to perform over 100-frequency channel multiplexed parallel optical information processing. Both spectral consistency and matrix consistency exceed 0.9. This achievement enables a 100-fold increase (and even beyond) in optical computility through ultra-high parallelism without scaling up the chip size, offering a novel technological pathway for future optical computers. [ABSTRACT FROM AUTHOR] |
| Copyright of eLight is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Databáza: | Complementary Index |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://resolver.ebscohost.com/openurl?sid=EBSCO:edb&genre=article&issn=20971710&ISBN=&volume=5&issue=1&date=20250617&spage=1&pages=1-10&title=eLight&atitle=Parallel%20optical%20computing%20capable%20of%20100-wavelength%20multiplexing.&aulast=Yu%2C%20Xiao&id=DOI:10.1186/s43593-025-00088-8 Name: Full Text Finder Category: fullText Text: Full Text Finder Icon: https://imageserver.ebscohost.com/branding/images/FTF.gif MouseOverText: Full Text Finder – Url: https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=EBSCO&SrcAuth=EBSCO&DestApp=WOS&ServiceName=TransferToWoS&DestLinkType=GeneralSearchSummary&Func=Links&author=Yu%20X Name: ISI Category: fullText Text: Nájsť tento článok vo Web of Science Icon: https://imagesrvr.epnet.com/ls/20docs.gif MouseOverText: Nájsť tento článok vo Web of Science |
|---|---|
| Header | DbId: edb DbLabel: Complementary Index An: 185966419 RelevancyScore: 1041 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 1040.79602050781 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Parallel optical computing capable of 100-wavelength multiplexing. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Yu%2C+Xiao%22">Yu, Xiao</searchLink><br /><searchLink fieldCode="AR" term="%22Wei%2C+Ziqi%22">Wei, Ziqi</searchLink><br /><searchLink fieldCode="AR" term="%22Sha%2C+Fangyuan%22">Sha, Fangyuan</searchLink><br /><searchLink fieldCode="AR" term="%22Wang%2C+Xinyu%22">Wang, Xinyu</searchLink><br /><searchLink fieldCode="AR" term="%22Chu%2C+Yanqi%22">Chu, Yanqi</searchLink><br /><searchLink fieldCode="AR" term="%22Wang%2C+Zhen%22">Wang, Zhen</searchLink><br /><searchLink fieldCode="AR" term="%22Han%2C+Xilin%22">Han, Xilin</searchLink><br /><searchLink fieldCode="AR" term="%22Wang%2C+Hongwei%22">Wang, Hongwei</searchLink><br /><searchLink fieldCode="AR" term="%22Yi%2C+Shulan%22">Yi, Shulan</searchLink><br /><searchLink fieldCode="AR" term="%22Cheng%2C+Yuhu%22">Cheng, Yuhu</searchLink><br /><searchLink fieldCode="AR" term="%22Hu%2C+Guangwei%22">Hu, Guangwei</searchLink><br /><searchLink fieldCode="AR" term="%22Xie%2C+Peng%22">Xie, Peng</searchLink> – Name: TitleSource Label: Source Group: Src Data: eLight; 6/17/2025, Vol. 5 Issue 1, p1-10, 10p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22OPTICAL+computing%22">OPTICAL computing</searchLink><br /><searchLink fieldCode="DE" term="%22WAVELENGTH+division+multiplexing%22">WAVELENGTH division multiplexing</searchLink><br /><searchLink fieldCode="DE" term="%22ARTIFICIAL+intelligence%22">ARTIFICIAL intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22OPTICAL+solitons%22">OPTICAL solitons</searchLink><br /><searchLink fieldCode="DE" term="%22INTERFEROMETERS%22">INTERFEROMETERS</searchLink><br /><searchLink fieldCode="DE" term="%22PARALLEL+programming%22">PARALLEL programming</searchLink><br /><searchLink fieldCode="DE" term="%22HIGH+performance+computing%22">HIGH performance computing</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In the era of artificial intelligence, the computing hardware is of critical importance, with various new modalities explored. Information processing using photons, with abundant intrinsic degrees of freedom, as the carrier could embrace low loss, high speed, low latency, low power consumption, and high parallelism. Here, harvesting the intrinsic frequency channels, we propose and demonstrate a parallel optical computing architecture powered by a soliton microcomb source, a broadband Mach–Zehnder interferometer (MZI) mesh and a parallel MZI mesh computing model. The examinations validate the system's capability to perform over 100-frequency channel multiplexed parallel optical information processing. Both spectral consistency and matrix consistency exceed 0.9. This achievement enables a 100-fold increase (and even beyond) in optical computility through ultra-high parallelism without scaling up the chip size, offering a novel technological pathway for future optical computers. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of eLight is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://erproxy.cvtisr.sk/sfx/access?url=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=185966419 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s43593-025-00088-8 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 1 Subjects: – SubjectFull: OPTICAL computing Type: general – SubjectFull: WAVELENGTH division multiplexing Type: general – SubjectFull: ARTIFICIAL intelligence Type: general – SubjectFull: OPTICAL solitons Type: general – SubjectFull: INTERFEROMETERS Type: general – SubjectFull: PARALLEL programming Type: general – SubjectFull: HIGH performance computing Type: general Titles: – TitleFull: Parallel optical computing capable of 100-wavelength multiplexing. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yu, Xiao – PersonEntity: Name: NameFull: Wei, Ziqi – PersonEntity: Name: NameFull: Sha, Fangyuan – PersonEntity: Name: NameFull: Wang, Xinyu – PersonEntity: Name: NameFull: Chu, Yanqi – PersonEntity: Name: NameFull: Wang, Zhen – PersonEntity: Name: NameFull: Han, Xilin – PersonEntity: Name: NameFull: Wang, Hongwei – PersonEntity: Name: NameFull: Yi, Shulan – PersonEntity: Name: NameFull: Cheng, Yuhu – PersonEntity: Name: NameFull: Hu, Guangwei – PersonEntity: Name: NameFull: Xie, Peng IsPartOfRelationships: – BibEntity: Dates: – D: 17 M: 06 Text: 6/17/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20971710 Numbering: – Type: volume Value: 5 – Type: issue Value: 1 Titles: – TitleFull: eLight Type: main |
| ResultId | 1 |
Full Text Finder
Nájsť tento článok vo Web of Science