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In this paper, a learning-based approach is proposed for optimizing downlink beamforming in multiple-input multiple-output (MIMO) systems that employ continuous aperture arrays (CAPAs) at both the base station (BS) and the user. Beamforming…

Signal Processing · Electrical Eng. & Systems 2026-03-18 Shiyong Chen , Jia Guo , Shengqian Han

In electrophysiology, multielectrode array devices (MEA) are the gold standard for the study of large ensambles of electrogenic cells. In the last decades, thanks to the adoption of nanotechnologies, the study of physiological and…

Biological Physics · Physics 2023-01-24 Giulia Bruno

We demonstrate a different scheme to perform optical sectioning of a sample based on the concept of induced coherence [Zou et al., Phys. Rev. Lett. 67, 318 (1991)]. This can be viewed as a different type of optical coherence tomography…

Quantum Physics · Physics 2018-02-19 Adam Vallés , Gerard Jiménez , Luis José Salazar-Serrano , Juan P. Torres

Structured, periodic optical materials can be used to form photonic crystals capable of dispersing, routing, and trapping light. A similar phenomena in periodic elastic structures can be used to manipulate mechanical vibrations. Here we…

Wave modes induced by cross-phase reshaping of a probe photon in the guiding structure of a periodic train of temporal pulses are investigated theoretically with emphasis on exact solutions to the wave equation for the probe. The study has…

Pattern Formation and Solitons · Physics 2021-09-16 Alain M. Dikande

Reconfigurable photonic devices capable of routing the flow of light enable flexible integrated-optic circuits that are not hard-wired but can be externally controlled. Analogous to free-space spatial light modulators, we demonstrate…

Using acoustooptic (AO) cells based on TeO2 crystal and silica glass, we have experimentally shown for the first time that the intensity profile and the phase structure of the vortex beam are preserved under AO Bragg diffraction. As a…

Neural networks are one of the first major milestones in developing artificial intelligence systems. The utilisation of integrated photonics in neural networks offers a promising alternative approach to microelectronic and hybrid…

Next-nearest-neighbor Heisenberg chain plays important roles in solid state physics, such as predicting exotic electric properties of two-dimensional materials or magnetic properties of organic compounds. Direct experimental studies of the…

Optics · Physics 2016-11-14 F. Qi , Y. F. Wang , Q. Y. Ma , A. Y. Qi , P. Xu , S. N. Zhu , W. H. Zheng

Neural networks have proven effective for solving many difficult computational problems. Implementing complex neural networks in software is very computationally expensive. To explore the limits of information processing, it will be…

Neural and Evolutionary Computing · Computer Science 2017-04-20 Jeffrey M. Shainline , Sonia M. Buckley , Richard P. Mirin , Sae Woo Nam

In this work, we present a multi-layer optical phased array (OPA) designed for dual-axis beam steering on a silicon (Si) platform, utilizing only wavelength tuning. Our design eliminates the need for grating couplers, commonly required for…

Optics · Physics 2024-12-11 Venus Kakdarvishi , Bowen Yu , Yasha Yi

As a means of dynamically reconfiguring the synaptic weight of a superconducting optoelectronic loop neuron, a superconducting flux storage loop is inductively coupled to the synaptic current bias of the neuron. A standard flux memory cell…

Optomechanical arrays made of structured flexible dielectrics are a promising system for exploring quantum and many-body optomechanical phenomena. We generalize investigations of the optomechanical properties of periodic arrays of…

Quantum Physics · Physics 2016-11-10 Bhagya Nair , André Xuereb , Aurélien Dantan

Deep learning methods have recently made notable advances in the tasks of classification and representation learning. These tasks are important for brain imaging and neuroscience discovery, making the methods attractive for porting to a…

Neural and Evolutionary Computing · Computer Science 2014-02-20 Sergey M. Plis , Devon R. Hjelm , Ruslan Salakhutdinov , Vince D. Calhoun

We report on the experimental realization of an atom optical device, that allows scanning of an atomic beam. We used a time-modulated evanescent wave field above a glass surface to diffract a continuous beam of metastable Neon atoms at…

Atomic Physics · Physics 2016-09-08 Hilmar Oberst , Shigenori Kasashima , Victor I. Balykin , Fujio Shimizu

We describe a theoretical procedure for analyzing astronomical phased arrays with overlapping beams, and apply the procedure to simulate a simple example. We demonstrate the effect of overlapping beams on the number of degrees of freedom of…

Astrophysics · Physics 2009-11-13 George Saklatvala , Stafford Withington , Michael P. Hobson

Optical phase measurement is critical for many applications and traditional approaches often suffer from mechanical instability, temporal latency, and computational complexity. In this paper, we describe compact phase sensor arrays based on…

In the present work, electroencephalographic recordings of healthy human participants were performed to study the entrainment of brainwaves using a variety of stimulus. First, periodic entrainment of the brainwaves was studied using two…

Neurons and Cognition · Quantitative Biology 2019-01-04 Richa Phogat , P. Parmananda

We demonstrate an optical phased-array (OPA) equipped with a 3D-printed facet-attached element for shaping and deflection of the emitted beam. The beam shaper combines freeform refractive surfaces with total-internal-reflection (TIR)…

In this paper, we provide an accurate description of geometric phases emerging in simple optical systems -- nanostructures (metaatoms) interacting with vortex beams. We show that this interaction leads to a new class of geometric phase for…

Optics · Physics 2026-02-06 Kristina Frizyuk , Evgenii Menshikov , Mauro Spera