Nonlinear multimode photonics: nonlinear optics with many degrees of freedom

Optica, Journal Year: 2022, Volume and Issue: 9(7), P. 824 - 824

Published: June 16, 2022

The overall goal of photonics research is to understand and control light in new richer ways facilitate applications. Many major developments this end have relied on nonlinear optical techniques, such as lasing, mode-locking, parametric downconversion, enable applications based the interactions coherent with matter. These processes often involve between photonic material degrees freedom spanning multiple spatiotemporal scales. While great progress has been made relatively simple optimizations, maximizing single-mode coherence or peak intensity alone, ultimate achievement engineering complete, multidimensional light–light light–matter through tailored construction complex fields systems that exploit all light’s freedom. This capability now within sight, due advances telecommunications, computing, algorithms, modeling. Control highly multimode also facilitates quantitative qualitative imaging, sensing, communication, information processing since these directly depend our ability detect, encode, manipulate many possible. Today, are increasingly being enhanced enabled by both nonlinearity. Here, we provide a brief overview photonics, focusing primarily wave propagation and, particular, promising future directions routes We conclude an emerging methodologies will complex, devices

Language: Английский

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A Comprehensive Review of Bio-Inspired Optimization Algorithms Including Applications in Microelectronics and Nanophotonics

Biomimetics, Journal Year: 2023, Volume and Issue: 8(3), P. 278 - 278

Published: June 28, 2023

The application of artificial intelligence in everyday life is becoming all-pervasive and unavoidable. Within that vast field, a special place belongs to biomimetic/bio-inspired algorithms for multiparameter optimization, which find their use large number areas. Novel methods advances are being published at an accelerated pace. Because that, spite the fact there lot surveys reviews they quickly become dated. Thus, it importance keep pace with current developments. In this review, we first consider possible classification bio-inspired optimization because papers dedicated area relatively scarce often contradictory. We proceed by describing some detail more prominent approaches, as well those most recently published. Finally, biomimetic two related wide fields, namely microelectronics (including circuit design optimization) nanophotonics inverse structures such photonic crystals, nanoplasmonic configurations metamaterials). attempted broad survey self-contained so can be not only scholars but also all interested latest developments attractive area.

Language: Английский

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Artificial neural networks for photonic applications—from algorithms to implementation: tutorial

Advances in Optics and Photonics, Journal Year: 2023, Volume and Issue: 15(3), P. 739 - 739

Published: Aug. 3, 2023

This tutorial-review on applications of artificial neural networks in photonics targets a broad audience, ranging from optical research and engineering communities to computer science applied mathematics. We focus here the areas at interface between these disciplines, attempting find right balance technical details specific each domain overall clarity. First, we briefly recall key properties peculiarities some core network types, which believe are most relevant photonics, also linking layer's theoretical design hardware realizations. After that, elucidate question how fine-tune selected model's perform required task with optimized accuracy. Then, review part, discuss recent developments progress for several including multiple aspects communications, imaging, sensing, new materials lasers. In following section, put special emphasis accurately evaluate complexity context transition algorithms implementation. The introduced characteristics used analyze as specific, albeit highly important example, comparing those benchmark signal processing methods. combine description well-known model compression strategies machine learning, novel techniques recently networks. It is stress that although our this methods presented can be handy much wider range scientific applications.

Language: Английский

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Direct field-to-pattern monolithic design of holographic metasurface via residual encoder-decoder convolutional neural network

Opto-Electronic Advances, Journal Year: 2023, Volume and Issue: 6(8), P. 220148 - 220148

Published: Jan. 1, 2023

Complex-amplitude holographic metasurfaces (CAHMs) with the flexibility in modulating phase and amplitude profiles have been used to manipulate propagation of wavefront an unprecedented level, leading higher image-reconstruction quality compared their natural counterparts. However, prevailing design methods CAHMs are based on Huygens-Fresnel theory, meta-atom optimization, numerical simulation experimental verification, which results a consumption computing resources. Here, we applied residual encoder-decoder convolutional neural network directly map electric field distributions input images for monolithic metasurface design. A pretrained is firstly trained by calculated diffraction subsequently migrated as transfer learning framework simulated images. The training show that normalized mean pixel error about 3% dataset. As prototypes fabricated, measured. reconstructed reverse-engineered exhibits high similarity target field, demonstrates effectiveness our Encouragingly, this work provides field-to-pattern method CAHMs, paves new route direct reconstruction metasurfaces.

Language: Английский

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Diffractive optical elements 75 years on: from micro-optics to metasurfaces

Photonics Insights, Journal Year: 2023, Volume and Issue: 2(4), P. R09 - R09

Published: Jan. 1, 2023

Diffractive optical elements (DOEs) are intricately designed devices with the purpose of manipulating light fields by precisely modifying their wavefronts. The concept DOEs has its origins dating back to 1948 when D. Gabor first introduced holography. Subsequently, researchers binary (BOEs), including computer-generated holograms (CGHs), as a distinct category within realm DOEs. This was revolution in devices. next major breakthrough field manipulation occurred during early 21st century, marked advent metamaterials and metasurfaces. Metasurfaces particularly appealing due ultra-thin, ultra-compact properties capacity exert precise control over virtually every aspect fields, amplitude, phase, polarization, wavelength/frequency, angular momentum, etc. advancement micro/nano-structures also enabled various applications such information acquisition, transmission, storage, processing, display. In this review, we cover fundamental science, cutting-edge technologies, wide-ranging associated micro/nano-scale for regulating fields. We delve into prevailing challenges pursuit developing viable technology real-world applications. Furthermore, offer insights potential future research trends directions manipulation.

Language: Английский

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