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Laser writing of spin defects in nanophotonic cavities.
Day, Aaron M; Dietz, Jonathan R; Sutula, Madison; Yeh, Matthew; Hu, Evelyn L.
Afiliação
  • Day AM; John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.
  • Dietz JR; John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.
  • Sutula M; Department of Physics, Harvard University, Cambridge, MA, USA.
  • Yeh M; John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.
  • Hu EL; John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA. ehu@seas.harvard.edu.
Nat Mater ; 22(6): 696-702, 2023 Jun.
Article em En | MEDLINE | ID: mdl-37106131
ABSTRACT
High-yield engineering and characterization of cavity-emitter coupling is an outstanding challenge in developing scalable quantum network nodes. Ex situ defect formation systems prevent real-time analysis, and previous in situ methods are limited to bulk substrates or require further processing to improve the emitter properties1-6. Here we demonstrate the direct laser writing of cavity-integrated spin defects using a nanosecond pulsed above-bandgap laser. Photonic crystal cavities in 4H-silicon carbide serve as a nanoscope monitoring silicon-monovacancy defect formation within the approximately 200 nm3 cavity-mode volume. We observe spin resonance, cavity-integrated photoluminescence and excited-state lifetimes consistent with conventional defect formation methods, without the need for post-irradiation thermal annealing. We further find an exponential reduction in excited-state lifetime at fluences approaching the cavity amorphization threshold and show the single-shot annealing of intrinsic background defects at silicon-monovacancy formation sites. This real-time in situ method of localized defect formation, paired with cavity-integrated defect spins, is necessary towards engineering cavity-emitter coupling for quantum networking.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article