Unknown

Dataset Information

0

Nanoscale optical positioning of single quantum dots for bright and pure single-photon emission.


ABSTRACT: Self-assembled, epitaxially grown InAs/GaAs quantum dots (QDs) are promising semiconductor quantum emitters that can be integrated on a chip for a variety of photonic quantum information science applications. However, self-assembled growth results in an essentially random in-plane spatial distribution of QDs, presenting a challenge in creating devices that exploit the strong interaction of single QDs with highly confined optical modes. Here, we present a photoluminescence imaging approach for locating single QDs with respect to alignment features with an average position uncertainty <30?nm (<10?nm when using a solid-immersion lens), which represents an enabling technology for the creation of optimized single QD devices. To that end, we create QD single-photon sources, based on a circular Bragg grating geometry, that simultaneously exhibit high collection efficiency (48%±5% into a 0.4 numerical aperture lens, close to the theoretically predicted value of 50%), low multiphoton probability (g(2)(0) <1%), and a significant Purcell enhancement factor (?3).

SUBMITTER: Sapienza L 

PROVIDER: S-EPMC4525159 | biostudies-literature | 2015 Jul

REPOSITORIES: biostudies-literature

altmetric image

Publications

Nanoscale optical positioning of single quantum dots for bright and pure single-photon emission.

Sapienza Luca L   Davanço Marcelo M   Badolato Antonio A   Srinivasan Kartik K  

Nature communications 20150727


Self-assembled, epitaxially grown InAs/GaAs quantum dots (QDs) are promising semiconductor quantum emitters that can be integrated on a chip for a variety of photonic quantum information science applications. However, self-assembled growth results in an essentially random in-plane spatial distribution of QDs, presenting a challenge in creating devices that exploit the strong interaction of single QDs with highly confined optical modes. Here, we present a photoluminescence imaging approach for lo  ...[more]

Similar Datasets

| S-EPMC6110725 | biostudies-literature
| S-EPMC7500932 | biostudies-literature
| S-EPMC9046275 | biostudies-literature
| S-EPMC5355891 | biostudies-literature
| S-EPMC10848962 | biostudies-literature
| S-EPMC4600753 | biostudies-literature
| S-EPMC3828571 | biostudies-literature
| S-EPMC9306001 | biostudies-literature
| S-EPMC7309328 | biostudies-literature
| S-EPMC6662328 | biostudies-literature