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Efficient and long-lived interfaces between light and matter are crucial for the development of quantum information technologies. Integrated photonics solutions for quantum storage devices offer improved performances due to light…

Ultracold atoms are crucial for unlocking truly precise and accurate quantum metrology, and provide an essential platform for quantum computing, communication and memories. One of the largest ongoing challenges is the miniaturization of…

Quantum Gases · Physics 2025-01-06 Alan Bregazzi , James P. McGilligan , Paul F. Griffin , Erling Riis , Aidan S. Arnold

We propose an optical method of shining circularly polarized and spatially periodic laser fields to imprint superlattice structures in two-dimensional electronic systems. By changing the configuration of the optical field, we synthesize…

Mesoscale and Nanoscale Physics · Physics 2020-10-07 Hwanmun Kim , Hossein Dehghani , Hideo Aoki , Ivar Martin , Mohammad Hafezi

A promising solution for scalable integrated optics of trapped-ion quantum processors are curved waveguides guiding visible light within sapphire bulk material. To the best of our knowledge, no curved waveguides were investigated in…

Unprecedented atomic-scale measurement resolution has recently been demonstrated in single-shot optical localization metrology based on deep-learning analyses of diffraction patterns of topologically structured light scattered from objects.…

We demonstrate a smart laser-diffraction analysis technique for particle mixture identification. We retrieve information about the size, geometry, and ratio concentration of two-component heterogeneous particle mixtures with an efficiency…

Image and Video Processing · Electrical Eng. & Systems 2022-02-03 Arturo Villegas , Mario A. Quiroz-Juarez , Alfred U'Ren , Juan P. Torres , Roberto de J. Leon-Montiel

Imaging is central for gaining microscopic insight into physical systems, but direct imaging of ultracold atoms in optical lattices as modern quantum simulation platform suffers from the diffraction limit as well as high optical density and…

Quantum Gases · Physics 2021-12-14 Luca Asteria , Henrik P. Zahn , Marcel N. Kosch , Klaus Sengstock , Christof Weitenberg

We report low-loss multiscan waveguides fabricated in fused silica using femtosecond laser writing technology. The multiscan principle allows to tailor the writing regime to excel at key features of any integrated photonic platform:…

We present the realization of mid-infrared waveguide by ultrafast laser inscription technique in a chalcogenide glass. Our approach is based on multicore waveguide that consists in an alignment on a mesh of positive refractive index…

Optics · Physics 2019-08-12 Pascal Masselin , Eugène Bychkov , David Le Coq

Development in lattice strain mapping using four-dimensional scanning transmission electron microscopy (4D-STEM) method now offers improved precision and feasibility. However, automatic and accurate diffraction analysis is still challenging…

Materials Science · Physics 2022-01-04 Sihan Wang , Tim Eldred , Jacob Smith , Wenpei Gao

For the task of semantic segmentation, high-resolution (pixel-level) ground truth is very expensive to collect, especially for high resolution images such as gigapixel pathology images. On the other hand, collecting low resolution labels…

Computer Vision and Pattern Recognition · Computer Science 2020-01-09 Maozheng Zhao , Le Hou , Han Le , Dimitris Samaras , Nebojsa Jojic , Danielle Fassler , Tahsin Kurc , Rajarsi Gupta , Kolya Malkin , Shroyer Kenneth , Joel Saltz

We propose a super-resolution quantum lithography scheme based on coherent population trapping in lambda-type atoms coupled to temporally-cascaded standing-wave driving fields. By realizing effective multiplication of optical intensity…

Quantum Physics · Physics 2008-08-19 Hee Su Park , Sun Kyung Lee

Particle tracking is a fundamental task in digital microscopy. Recently, machine-learning approaches have made great strides in overcoming the limitations of more classical approaches. The training of state-of-the-art machine-learning…

We present a coherent filtering scheme which dramatically reduces the site occupation number defects for atoms in an optical lattice, by transferring a chosen number of atoms to a different internal state via adiabatic passage. With the…

Soft Condensed Matter · Physics 2009-01-15 P. Rabl , A. J. Daley , P. O. Fedichev , J. I. Cirac , P. Zoller

Super-resolution is a fundamental task in imaging, where the goal is to extract fine-grained structure from coarse-grained measurements. Here we are interested in a popular mathematical abstraction of this problem that has been widely…

Information Theory · Computer Science 2015-04-30 Ankur Moitra

Superconducting microcircuits and metamaterials are promising candidates for use in new generation cryogenic electronics. Their functionality is largely justified by the macroscopic distribution of electromagnetic fields in arranged unit…

Superconductivity · Physics 2022-02-16 A. A. Leha , A. P. Zhuravel , A. Karpov , A. V. Lukashenko , A. V. Ustinov

Satellite-based quantum technologies represent a possible route for extending the achievable range of quantum communication, allowing the construction of worldwide quantum networks without quantum repeaters. In space missions, however, the…

We report on a method of light-shift engineering where an auxiliary laser is used to tune the atomic transition frequency. The technique is used to selectively load a specific region of an optical lattice. The results are explained by…

Atomic Physics · Physics 2009-11-11 P. F. Griffin , K. J. Weatherill , S. G. MacLeod , R. M. Potvliege , C. S. Adams

Single photon emitters in silicon carbide (SiC) are attracting attention as quantum photonic systems. However, to achieve scalable devices it is essential to generate single photon emitters at desired locations on demand. Here we report the…

Sub-footprint target mixing within a laser footprint significantly increases LiDAR intensity uncertainty, especially in complex environments where heterogeneous materials inside one footprint cause nonlinear distortions that impair…

Machine Learning · Computer Science 2026-05-12 Zhen Xiao , Yanfeng Gu , Xian Li