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Salvador Medina

Publications and source records attributed to Salvador Medina.

3 recordsLinked to original sources

Site-controlled quantum dot arrays edge-coupled to integrated silicon nitride waveguides and devices

The scalability of quantum photonic integrated circuits opens the path towards large-scale quantum computing and communication. To date, this scalability has been limited by the stochastic nature of the quantum light sources. Moreover, hybrid integration of different platforms will likely be necessary to combine state-of-the-art devices into a functioning architecture. Here, we demonstrate the active alignment and edge-coupling of arrays of ten site-controlled gallium arsenide quantum dots to an array of ten silicon nitride single-mode waveguides, at cryogenic temperatures. The coupling is facilitated by the fabrication of nanopillars, deterministically self-aligned around each quantum dot, leading to a high-yield and regular array of single-photon sources. An on-chip beamsplitter verifies the triggered emission of single photons into the silicon nitride chip. The low inhomogeneous broadening of the ensemble enables us to observe the spectral overlap of adjacent site-controlled emitters. Across the array of waveguides, the signal collected from each coupled quantum dot is consistently and reproducibly 0.17 relative to the free-space collection from the very same single-photon source. Comparing measurement with waveguide simulations, we infer that absolute coupling efficiencies of $\approx 5 \%$ are currently obtained between our quantum dots and the waveguides.

physics.optics↗

Self-aligned pillar arrays embedding site-controlled single quantum dots for enhanced non-classical light emission

This work presents a foundational approach for fabricating arrays of self-aligned micro- and nanopillar structures incorporating individual site-controlled quantum dots (QDs) for enhanced light extraction. This method leverages the non-planar surface morphology of pyramidal QD samples to define dielectric masks self - aligned to the QD positions. The mask size, and consequently the lateral dimensions of the pillars, is precisely controlled through a chemical mechanical polishing step, obviating the need for any additional lithography step for creating the pillar. This fabrication technique offers several key advantages, including precise control over the pillar sites, and fully deterministic embedding of QD structures. The functionality of the structures was validated by integrating single In0.25Ga0.75As QDs - upon two-photon excitation of the biexciton state, the emission of single and polarization-entangled photon pairs was observed. Additionally, an extra fabrication step to deposit dome-like structures atop the pillars was demonstrated, effectively enhancing light extraction efficiency up to 12%.

physics.optics↗

Where is this? Video geolocation based on neural network features

In this work we propose a method that geolocates videos within a delimited widespread area based solely on the frames visual content. Our proposed method tackles video-geolocation through traditional image retrieval techniques considering Google Street View as the reference point. To achieve this goal we use the deep learning features obtained from NetVLAD to represent images, since through this feature vectors the similarity is their L2 norm. In this paper, we propose a family of voting-based methods to aggregate frame-wise geolocation results which boost the video geolocation result. The best aggregation found through our experiments considers both NetVLAD and SIFT similarity, as well as the geolocation density of the most similar results. To test our proposed method, we gathered a new video dataset from Pittsburgh Downtown area to benefit and stimulate more work in this area. Our system achieved a precision of 90% while geolocating videos within a range of 150 meters or two blocks away from the original position.

cs.CV↗