Reversible optical data storage below the diffraction limit.


Journal

Nature nanotechnology
ISSN: 1748-3395
Titre abrégé: Nat Nanotechnol
Pays: England
ID NLM: 101283273

Informations de publication

Date de publication:
04 Dec 2023
Historique:
received: 31 10 2022
accepted: 18 09 2023
medline: 5 12 2023
pubmed: 5 12 2023
entrez: 4 12 2023
Statut: aheadofprint

Résumé

Colour centres in wide-bandgap semiconductors feature metastable charge states that can be interconverted with the help of optical excitation at select wavelengths. The distinct fluorescence and spin properties in each of these states have been exploited to show storage of classical information in three dimensions, but the memory capacity of these platforms has been thus far limited by optical diffraction. Here we leverage local heterogeneity in the optical transitions of colour centres in diamond (nitrogen vacancies) to demonstrate selective charge state control of individual point defects sharing the same diffraction-limited volume. Further, we apply this approach to dense colour centre ensembles, and show rewritable, multiplexed data storage with an areal density of 21 Gb inch

Identifiants

pubmed: 38049596
doi: 10.1038/s41565-023-01542-9
pii: 10.1038/s41565-023-01542-9
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : National Science Foundation (NSF)
ID : 2216838
Organisme : National Science Foundation (NSF)
ID : 191494
Organisme : National Science Foundation (NSF)
ID : 191494
Organisme : National Science Foundation (NSF)
ID : 2216838

Informations de copyright

© 2023. The Author(s), under exclusive licence to Springer Nature Limited.

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Auteurs

Richard Monge (R)

Department of Physics, City College of New York, CUNY, New York, NY, USA.
Graduate Center, CUNY, New York, NY, USA.

Tom Delord (T)

Department of Physics, City College of New York, CUNY, New York, NY, USA.

Carlos A Meriles (CA)

Department of Physics, City College of New York, CUNY, New York, NY, USA. cmeriles@ccny.cuny.edu.
Graduate Center, CUNY, New York, NY, USA. cmeriles@ccny.cuny.edu.

Classifications MeSH