Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/109229
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dc.contributorDepartment of Electrical and Electronic Engineering-
dc.creatorZhu, H-
dc.creatorLin, H-
dc.creatorWu, S-
dc.creatorLuo, W-
dc.creatorZhang, H-
dc.creatorZhan, Y-
dc.creatorWang, X-
dc.creatorLiu, A-
dc.creatorKwek, LC-
dc.date.accessioned2024-10-03T08:15:07Z-
dc.date.available2024-10-03T08:15:07Z-
dc.identifier.urihttp://hdl.handle.net/10397/109229-
dc.language.isoenen_US
dc.publisherMDPI AGen_US
dc.rightsCopyright: © 2024 by the authors. 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/).en_US
dc.rightsThe following publication Zhu H, Lin H, Wu S, Luo W, Zhang H, Zhan Y, Wang X, Liu A, Kwek LC. Quantum Computing and Machine Learning on an Integrated Photonics Platform. Information. 2024; 15(2):95 is available at https://doi.org/10.3390/info15020095.en_US
dc.subjectIntegrated photonic chipen_US
dc.subjectOptical networken_US
dc.subjectQuantum neural networken_US
dc.titleQuantum computing and machine learning on an integrated photonics platformen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume15-
dc.identifier.issue2-
dc.identifier.doi10.3390/info15020095-
dcterms.abstractIntegrated photonic chips leverage the recent developments in integrated circuit technology, along with the control and manipulation of light signals, to realize the integration of multiple optical components onto a single chip. By exploiting the power of light, integrated photonic chips offer numerous advantages over traditional optical and electronic systems, including miniaturization, high-speed data processing and improved energy efficiency. In this review, we survey the current status of quantum computation, optical neural networks and the realization of some algorithms on integrated optical chips.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationInformation (Switzerland), Feb. 2024, v. 15, no. 2, 95-
dcterms.isPartOfInformation (Switzerland)-
dcterms.issued2024-02-
dc.identifier.scopus2-s2.0-85185708452-
dc.identifier.eissn2078-2489-
dc.identifier.artn95-
dc.description.validate202410 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Othersen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextMinistry of Education, Singapore; National Research Foundation, Singaporeen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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