Results 221 to 230 of about 379,828 (307)
Quantized vortices around wavefunction nodes. II [PDF]
, 1974 Joseph O. Hirschfelder +2 more
openalex +1 more source
BDLUT: Blind image denoising with hardware‐optimized look‐up tables
Journal of the Society for Information Display, EarlyView.BDLUT(‐D) is a novel blind denoising method combining optimized lookup tables (LUTs) with hardware‐centric design. While BDLUT describes the LUT‐based network architecture, BDLUT‐D represents BDLUT trained with a specialized noise degradation model. Designed for edge deployment, BDLUT(‐D) eliminates neural processing units (NPUs) and functions as a ...
Boyu Li +9 more
wiley +1 more source
Quantized Convolutional Neural Networks Robustness under Perturbation. [PDF]
F1000ResLangille J, Hammad I, Kember G.
europepmc +1 more source
Classical-Limit Green's Function (Fixed-Energy Propagator) and Classical Quantization of Nonseparable Systems [PDF]
, 1972 William H. Miller
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Discrete Chiral Ballistic Polariton Laser
Laser &Photonics Reviews, EarlyView.Planar microcavities in the strong light–matter coupling regime exhibit exciton‐polariton modes with a strong chiral response toward circularly polarized light. This feature is exploited alongside inherent spin‐orbit coupling of cavity light to generate giant discrete optical vortices in polygonal arrays of exciton‐polariton condensates.
Zuzanna Werner +5 more
wiley +1 more source
Heterogeneous quantization regularizes spiking neural network activity. [PDF]
Sci RepMoyal R +4 more
europepmc +1 more source
Narrow Linewidth Laser Based on Extended Topological Interface States in 1D Photonic Crystals
Laser &Photonics Reviews, EarlyView.This work introduces a novel 1D‐TISE‐PhC semiconductor laser structure achieving uniform photon distribution, reduced linewidth (126 kHz), robust single‐mode performance (SMSR up to 50 dB), precise wavelength control, and tolerance to fabrication variations, demonstrated experimentally in an eight‐channel array.
Xiao Sun +8 more
wiley +1 more source
Ensemble probabilistic quantization encoding for information preservation of numerical variables in convolutional neural networks. [PDF]
Sci RepNam KY, Park HW, Lee Y, Jung HY, Kang T.
europepmc +1 more source
Laser &Photonics Reviews, EarlyView.This study leverages STM technology to enhance NFF performance by enabling continuous phase control at the +1st harmonic without increasing hardware complexity. It overcomes the limitations of conventional 1‐bit TMs caused by phase quantization errors and demonstrates that even compact arrays can achieve effective focusing, highlighting the strong ...
Manting Wang +7 more
wiley +1 more source