Deterministic integration of single nitrogen-vacancy centers into nanopatch antennas

Bogdanov, Simeon; Makarova, Oksana; Lagutchev, Alexei; Shah, Deesha; Chiang, Chin‐Cheng; Saha, Soham; Baburin, Aleksandr S.; Ryzhikov, Ilya A.; Rodionov, Ilya A.; Kildishev, Alexander V.; Boltasseva, Alexandra; Shalaev, Vladimir M.

doi:10.48550/arxiv.1902.05996

Cited by 5 publications

(5 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The disadvantage of gap plasmon cavity (GPC) systems supporting gap plasmon resonances is the extremely small volume of the resonant mode and, accordingly, the technical difficulties in placing light emitters in the region of the maximum field of such systems. 59 Several methods for fabrication gap plasmon nanostructures are known: (1) placement of a metal nanoparticle (nanosphere, nanocube) near a metal surface, 60,61 (2) planar nanostructures made by electron lithography, 62 (3) nanogaps in thin metal films. 63,64 Each of the methods has its own advantages and disadvantages.…”

Section: Atomic Sized Ag Clusters Inside Of Resonatormentioning

confidence: 99%

Ultra-bright and narrow-band emission from Ag atomic sized nanoclusters in a self-assembled plasmonic resonator

et al. 2022

View full text Add to dashboard Cite

show abstract

Section: Atomic Sized Ag Clusters Inside Of Resonatormentioning

confidence: 99%

Ultra-bright and narrow-band emission from Ag atomic sized nanoclusters in a self-assembled plasmonic resonator

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Recently, it has been shown that an atomic force microscope (AFM) tip can be used for the deterministic assembly of plasmonic nanopatch antennas (e.g., plasmonic cubes coupled to nanodiamonds) with gap sizes below 20 nm. 110 While the current techniques typically require manual manipulation, the coupling of the AFM-based deterministic assembly with a pretrained CNN can uniquely enable rapid, automated nanoassembly via all-neural-networkdriven AFM machinery (Figure 6d). The CNN can also be trained to take the AFM scan data or a microscope image as an input and return the displacement vector needed to operate (move, pick or place nanoparticle), as an output, such that it can be used to automatically drive the AFM tip.…”

Section: T H Imentioning

confidence: 99%

Machine Learning for Integrated Quantum Photonics

2020

Self Cite

View full text Add to dashboard Cite

Realization of integrated quantum photonics is a key step toward scalable quantum applications such as quantum computing, sensing, information processing, and quantum material metrology. To enable practical quantum photonic systems, several challenges should be addressed, including (i) the realization of deterministic, bright, and stable single-photon emission operating at THz rates and at room temperatures, (ii) on-chip integration of efficient single-photon sources, and (iii) the development of deterministic and scalable nanoassembly of quantum circuitry elements. In this Perspective, we focus on the emerging field of physics-informed machine learning (ML) quantum photonics that is envisioned to play a decisive role in addressing the above challenges. Specifically, three directions of ML-assisted quantum research are discussed: (i) rapid preselection of single single-photon sources via ML-assisted quantum measurements, (ii) hybrid ML-optimization approach for developing efficient quantum circuits elements, and (iii) ML-based frameworks for developing novel deterministic assembly of on-chip quantum emitters.

show abstract

“…There are various approaches to resolving this issue. These include optical tweezers and traps [39][40][41][42][43][44][45], as well as atomic force microscope probes and specific mechanical tweezers [46][47][48].…”

Section: Introductionmentioning

confidence: 99%

Hybrid cube-in-cup nanoantenna: towards ordered photonics

Gritsienko¹,

Kurochkin²,

Lega³

et al. 2021

Nanotechnology

View full text Add to dashboard Cite

The most significant goal of nanophotonics is the development of high-speed quantum emitting devices operating at ambient temperature. In this regard, plasmonic nanoparticles-on-mirror are potential candidates for designing high-speed photon sources. We introduce a novel hybrid nanoantenna (HNA) with CdSe/CdS colloidal quantum dots (QDs) based on a silver nanocube in a metal cup that presents a nanoparticle-in-cavity coupled with an emitters system. We use focused ion beam nanolithography to fabricate an ordered array of cups, which were then filled with colloidal nanoparticles using the most simple drop-casting and spin coating methods. The spectral and time-resolved studies of the samples with one or more nanocubes in the cup reveal a significant change in the radiation characteristics of QDs inside the nanoantenna. The Purcell effect causes an increase in the fluorescence decay rate (≥30) and an increase in the fluorescence intensity (≥3) of emitters in the HNA. Using the finite element method simulations, we have discovered that the proximity of the cups wall affects the oscillation modes of the gap plasmon, which, in turn, leads to changes in the electric field enhancement inside the nanoantenna gap. Additionally, substantial variations in the behavior of the gap plasmons at different polarizations of the exciting radiation have been revealed. The proposed nanoantenna can be useful in the development of plasmonic sensors, display pixels, and single-photon sources.

show abstract

Deterministic integration of single nitrogen-vacancy centers into nanopatch antennas

Cited by 5 publications

References 0 publications

Ultra-bright and narrow-band emission from Ag atomic sized nanoclusters in a self-assembled plasmonic resonator

Ultra-bright and narrow-band emission from Ag atomic sized nanoclusters in a self-assembled plasmonic resonator

Machine Learning for Integrated Quantum Photonics

Hybrid cube-in-cup nanoantenna: towards ordered photonics

Contact Info

Product

Resources

About