ReviewNanophotonics (Berlin, Germany)2023
Photonic multiplexing techniques for neuromorphic computing.
Review in Nanophotonics (Berlin, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
15 citing papers in PubMed.
- All-optical computing towards 100-GHz clock rates.Light, science & applications · 2026Article
- Reconfigurable magneto-optical diffractive neural network with enhanced optical phase modulation.Scientific reports · 2026Article
- Arbitrary Total Angular Momentum Vectorial Holography Using Bi-Layer Metasurfaces.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Article
- Neural network connectivity by optical broadcasting between III-V nanowires.Nanophotonics (Berlin, Germany) · 2025Article
- Multi-wavelength diffractive optical neural network integrated with 2D photonic crystals for joint optical classification.Nanophotonics (Berlin, Germany) · 2025Article
- Empowering nanophotonic applications via artificial intelligence: pathways, progress, and prospects.Nanophotonics (Berlin, Germany) · 2025Review
- Hybrid quantum-classical photonic neural networks.Npj unconventional computing · 2025Article
- Optical neural networks: progress and challenges.Light, science & applications · 2024Review
- Mode Conversion Trimming in Asymmetric Directional Couplers Enabled by Silicon Ion Implantation.Nano letters · 2024Article
- Multimodal deep learning using on-chip diffractive optics with in situ training capability.Nature communications · 2024Article
- A perspective on the artificial intelligence's transformative role in advancing diffractive optics.iScience · 2024Review
- Orbital angular momentum multiplexing holography based on multiple polarization channel metasurface.Nanophotonics (Berlin, Germany) · 2023Article
- Human emotion recognition with a microcomb-enabled integrated optical neural network.Nanophotonics (Berlin, Germany) · 2023Article
- Neural network learning with photonics and for photonic circuit design.Nanophotonics (Berlin, Germany) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The simultaneous advances in artificial neural networks and photonic integration technologies have spurred extensive research in optical computing and optical neural networks (ONNs). The potential to simultaneously exploit multiple physical dimensions of time, wavelength and space give ONNs the ability to achieve computing operations with high parallelism and large-data throughput. Different photonic multiplexing techniques based on these multiple degrees of freedom have enabled ONNs with large-scale interconnectivity and linear computing functions. Here, we review the recent advances of ONNs based on different approaches to photonic multiplexing, and present our outlook on key technologies needed to further advance these photonic multiplexing/hybrid-multiplexing techniques of ONNs.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.