Nature Communications, Journal Year: 2025, Volume and Issue: 16(1)
Published: Jan. 29, 2025
Language: Английский
Citations
9Integrated Photonic Neural Networks for Equalizing Optical Communication Signals: A Review
Photonics, Journal Year: 2025, Volume and Issue: 12(1), P. 39 - 39
Published: Jan. 4, 2025
The demand for high-capacity communication systems has grown exponentially in recent decades, constituting a technological field constant change. Data transmission at high rates, reaching tens of Gb/s, and over distances that can reach hundreds kilometers, still faces barriers to improvement, such as distortions the transmitted signals. Such include chromatic dispersion, which causes broadening pulse. Therefore, development solutions adequate recovery signals distorted by complex dynamics channel currently constitutes an open problem since, despite existence well-known efficient equalization techniques, these have limitations terms processing time, hardware complexity, especially energy consumption. In this scenario, paper discusses emergence photonic neural networks promising alternative equalizing optical Thus, review focuses on applications, challenges, opportunities implementing integrated scenario signal equalization. main work carried out, ongoing investigations, possibilities new research directions are also addressed. From review, it be concluded perceptron perform slightly better greater than reservoir computing networks, but with lower data rates. It is important emphasize photonics been growing years, so beyond scope address all existing applications networks.
Language: Английский
Citations
2Progress on intelligent metasurfaces for signal relay, transmitter, and processor
Light Science & Applications, Journal Year: 2025, Volume and Issue: 14(1)
Published: Feb. 25, 2025
Abstract Pursuing higher data rate with limited spectral resources is a longstanding topic that has triggered the fast growth of modern wireless communication techniques. However, massive deployment active nodes to compensate for propagation loss necessitates high hardware expenditure, energy consumption, and maintenance cost, as well complicated network interference issues. Intelligent metasurfaces, composed number subwavelength passive or meta-atoms, have recently found be new paradigm actively reshape environment in green way, distinct from conventional works passively adapt surrounding. In this review, we offer unified perspective on how intelligent metasurfaces can facilitate three manners: signal relay, transmitter, processor. We start by basic modeling channel evolution passive, metasurfaces. Integrated various deep learning algorithms, cater ever-changing environments without human intervention. Then, overview specific experimental advancements using conclude identifying key issues practical implementations surveying directions, such gain knowledge migration.
Language: Английский
Citations
2Ion-modulation optoelectronic neuromorphic devices: mechanisms, characteristics, and applications
Journal of Semiconductors, Journal Year: 2025, Volume and Issue: 46(2), P. 021402 - 021402
Published: Feb. 1, 2025
Abstract The traditional von Neumann architecture faces inherent limitations due to the separation of memory and computation, leading high energy consumption, significant latency, reduced operational efficiency. Neuromorphic computing, inspired by human brain, offers a promising alternative integrating computational functions, enabling parallel, high-speed, energy-efficient information processing. Among various neuromorphic technologies, ion-modulated optoelectronic devices have garnered attention their excellent ionic tunability availability multidimensional control strategies. This review provides comprehensive overview recent progress in ion-modulation devices. It elucidates key mechanisms underlying modulation light fields, including ion migration dynamics capture release charge through ions. Furthermore, synthesis active materials properties these are analyzed detail. also highlights application artificial vision systems, other bionic fields. Finally, existing challenges future directions for development discussed, providing critical insights advancing this field.
Language: Английский
Citations
1Unraveling Chiral Perovskite Spin‐Light Emitting Diode Performance and Magneto‐Chiroptical Properties Relationship Due to the Synergistic Effect
Advanced Functional Materials, Journal Year: 2025, Volume and Issue: unknown
Published: March 23, 2025
Abstract Chiral hybrid perovskites (CHPs) are very promising for room temperature spin‐light emitting diodes (spin‐LEDs) because of the chiral‐induced spin orbit coupling (CISOC) and helicity‐dependent carrier transport. The chiral‐achiral synergistic method has been recognized as a critical successful pathway developing high‐performance spin‐LEDs. Nonetheless, it remains an absence any studies to demonstrate elucidate relationship between chiral perovskite spin‐LEDs’ performance magneto‐chiroptical properties. Herein, spin‐LEDs being designed fabricated using method. A combination experimental theoretical study is performed systematically toward understanding spin‐related chiroptical properties, instance, lifetimes, CISOC strengths, magnetic transition dipole moments. To tune organic constituent found be decisive degrees circularly polarized electroluminescence (CP‐EL) properties CHPs. This insightful study, first time, unlocks correlation spin‐dependent due effect.
Language: Английский
Citations
1On-chip Deep Residual Photonic Neural Networks using Optical-electrical Shortcut Connections
Optics Letters, Journal Year: 2025, Volume and Issue: 50(3), P. 860 - 860
Published: Jan. 13, 2025
On-chip photonic neural networks (PNNs) have recently emerged as an attractive hardware accelerator for deep learning applications. However, PNNs with higher inference complexity are harder to train due gradient vanishing and exploding problems. In this work, we propose on-chip residual network architecture (Res-PNN), which enables the training of deeper by using optical-electrical shortcut connections. The connection is designed a power splitter, wavelength demultiplexer, photodetectors directly connect input output across optical weight layers. This alleviates problems providing direct path backpropagation, ensuring stable PNNs. proposed Res-PNN achieves classification accuracies 88.4% on CIFAR-10 dataset 80.3% CIFAR-100 dataset. Compared fully connected PNNs, improves accuracy 3.2% 11.3%
Language: Английский
Citations
0Interfacing Nanophotonics with Deep Neural Networks: AI for Photonic Design and Photonic Implementation of AI
Laser & Photonics Review, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 29, 2025
Abstract Recent remarkable progress in artificial intelligence (AI) has garnered tremendous attention from researchers, industry leaders, and the general public, who are increasingly aware of AI's growing impact on everyday life. The advancements AI deep learning have also significantly influenced field nanophotonics. On one hand, facilitates data‐driven strategies for optimizing solving forward inverse problems nanophotonic devices. other photonic devices offer promising optical platforms implementing neural networks. This review explores both design implementation AI. Various models their roles introduced, analyzing strengths challenges these methodologies perspective computational cost. Additionally, potential hardware accelerators networks is discussed by presenting a variety capable performing linear nonlinear operations, essential building blocks It believed that bidirectional interactions between nanophotonics will drive coevolution two research fields.
Language: Английский
Citations
0All-optical inference engine based on a shape-optimized multimode optical fiber
Physical Review Applied, Journal Year: 2025, Volume and Issue: 23(2)
Published: Feb. 3, 2025
Language: Английский
Citations
0Advancements in ultrafast photonics: confluence of nonlinear optics and intelligent strategies
Light Science & Applications, Journal Year: 2025, Volume and Issue: 14(1)
Published: Feb. 25, 2025
Abstract Automatic mode-locking techniques, the integration of intelligent technologies with nonlinear optics offers promise on-demand control, potentially overcoming inherent limitations traditional ultrafast pulse generation that have predominantly suffered from instability and suboptimality open-loop manual tuning. The advancements in algorithm-driven automatic techniques primarily are explored this review, which also revisits fundamental principles optical absorption, examines evolution categorization conventional techniques. convergence interactions has intricately expanded scope photonics, unveiling considerable potential for innovation catalyzing new waves research breakthroughs photonics characters.
Language: Английский
Citations
0Computed Tomography Using Meta-Optics
ACS Photonics, Journal Year: 2025, Volume and Issue: unknown
Published: March 1, 2025
Language: Английский
Citations
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