Publication:

Experimental Online Quantum Dots Charge Autotuning Using Neural Networks

Date

2025-FEB 27
Journal article
https://doi.org/10.1021/acs.nanolett.4c04889
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dc.contributor.authorYon, Victor
dc.contributor.authorGalaup, Bastien
dc.contributor.authorRohrbacher, Claude
dc.contributor.authorRivard, Joffrey
dc.contributor.authorMorel, Alexis
dc.contributor.authorLeclerc, Dominic
dc.contributor.authorGodfrin, Clement
dc.contributor.authorLi, Ruoyu
dc.contributor.authorKubicek, Stefan
dc.contributor.authorDe Greve, Kristiaan
dc.contributor.authorFerrier, Eva Dupont
dc.contributor.authorBeilliard, Yann
dc.contributor.authorMelko, Roger G.
dc.contributor.authorDrouin, Dominique
dc.contributor.imecauthorGodfrin, Clement
dc.contributor.imecauthorLi, Ruoyu
dc.contributor.imecauthorKubicek, Stefan
dc.contributor.imecauthorDe Greve, Kristiaan
dc.contributor.orcidimecGodfrin, Clement::0000-0002-5244-3474
dc.contributor.orcidimecKubicek, Stefan::0009-0006-2163-5760
dc.contributor.orcidimecDe Greve, Kristiaan::0000-0002-1314-9715
dc.date.accessioned2025-03-10T19:09:40Z
dc.date.available2025-03-10T19:09:40Z
dc.date.issued2025-FEB 27
dc.description.wosFundingTextV.Y. acknowledges Christian Lupien's valuable technical assistance in interfacing the experimental hardware with Python. V.Y., B.G., Y.B., and D.D. acknowledge support from the National Science Engineering Research Council of Canada, Grant ALLRP 580722-22, and the Fonds de Recherche du QuebecNature et Technologies, Grant 300253. C.R., J.R., A.M., D.L., and E.D.F. acknowledge support from the FRQNT etablissement de la releve professorale, Grant 2020-NC-268397, and the CRSNG, Grant RGPIN-2020-0573. R.G.M. acknowledges support from NSERC and the Perimeter Institute for Theoretical Physics. Research at the Perimeter Institute is supported in part by the Government of Canada through the Department of Innovation, Science and Economic Development Canada and by the Province of Ontario through the Ministry of Economic Development, Job Creation and Trade.
dc.identifier.doi10.1021/acs.nanolett.4c04889
dc.identifier.issn1530-6984
dc.identifier.pmidMEDLINE:40014814
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/45375
dc.publisherAMER CHEMICAL SOC
dc.source.journalNANO LETTERS
dc.source.numberofpages9
dc.subject.keywordsQUBITS
dc.subject.keywordsLOGIC
dc.subject.keywordsGATE
dc.title

Experimental Online Quantum Dots Charge Autotuning Using Neural Networks

dc.typeJournal article
dspace.entity.typePublication
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