Physics and artificial intelligence: illuminating the future of optics and photonics

Advanced Photonics, Год журнала: 2024, Номер 6(05)

Опубликована: Окт. 31, 2024

The 2024 Nobel Prize in Physics recognized John Hopfield and Geoffrey Hinton for their pioneering work on artificial neural networks, which profoundly impacted the physical sciences, particularly optics photonics. This perspective summarizes laureates' contributions, highlighting physics-based principles inspiration behind development of modern intelligence (AI) also outlining some emerging major advances achieved photonics enabled by AI.

Язык: Английский

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Vectorial Wavefront Manipulations Based on Misalignment Resilient Cascaded Metasurfaces

Laser & Photonics Review, Год журнала: 2025, Номер unknown

Опубликована: Май 12, 2025

Abstract Due to spatial symmetry constraints, existing single‐layer metasurface schemes suffer from reduced parallel control capabilities and information capacity in their Jones matrices. Recently, bilayer strategies have enabled significant enhancements polarization nonreciprocal modulations, facilitating applications holographic display optical communications. However, a more intuitive matrix analysis is needed, the current pixel‐wise design of metasurfaces necessitates precise nanofabrication alignment, leading increased costs technical challenges. In this paper, cascade for vectorial wavefront manipulations with misalignment robustness are investigated. First, an visualization method established, based on eigenstates, dichroism, phase modulations. On basis, approach cascaded aimed at sophisticated light modulation proposed. This achieves assembly tolerances than one order magnitude higher those group, by employing specialized frequency optimization. Specifically, both individual predesigned serve distinct functions. Multichannel multiplexing encryption all realized. It believed that work offers valuable insights into techniques cost‐effective multilayer metasurfaces.

Язык: Английский

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Teacher-student learning of generative adversarial network-guided diffractive neural networks for visual tracking and imaging

Advanced Photonics Nexus, Год журнала: 2024, Номер 3(06)

Опубликована: Ноя. 8, 2024

Efficiently tracking and imaging interested moving targets is crucial across various applications, from autonomous systems to surveillance. However, persistent challenges remain in fields, including environmental intricacies, limitations perceptual technologies, privacy considerations. We present a teacher-student learning model, the generative adversarial network (GAN)-guided diffractive neural (DNN), which performs visual of target. The GAN, as teacher empowers efficient acquisition skill differentiate specific target interest domains imaging. DNN-based student model learns master GAN. process obtaining GAN-guided DNN starts with capturing objects effectively using an event camera high temporal resolution low latency. Then, power GAN utilized generate data position-tracking capability for target, subsequently serving labels training DNN. image during while retaining target's positional information. Our experimental demonstration highlights efficacy expect can significantly enhance

Язык: Английский

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Metasurface-Generated Large and Arbitrary Analog Convolution Kernels for Accelerated Machine Vision

ACS Photonics, Год журнала: 2024, Номер unknown

Опубликована: Дек. 4, 2024

Язык: Английский

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