ArticleNature photonics2024
Nonlinear optical encoding enabled by recurrent linear scattering.
Article in Nature photonics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Article
- Quantum nonlinearity for optical neural computing.Nature communications · 2026Article
- Parallel nonlinear neuromorphic computing with temporal encoding.Science advances · 2026Article
- Broadband, Compact, and Training-Free Optical Processors for Parallel Image Classification.ACS nano · 2026Article
- Nanosecond-latency all-optical fiber sensing with in-sensor computing.Light, science & applications · 2026Article
- Time-synthetic optical neural networks with stable programmable gain.Nature communications · 2026Article
- Inverse theory of wavefront shaping in nonlinear scattering media.Nature communications · 2026Article
- Recent Progress in Nanophotonics for Green Energy, Medicine, Healthcare, and Optical Computing Applications.Materials (Basel, Switzerland) · 2026Review
- Light-Driven Reconfigurable Logic in a Monolithic Perovskite Device via Nonlinear Photoresponse Switching.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Excited State Opto-Ionic Reservoir Computing in Hybrid Perovskite Electrochemically-Gated Luminescent Cells.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Nonlinear optical extreme learner via data reverberation with incoherent light.Science advances · 2026Article
- Guiding waves through chaos: Universal bounds for targeted mode transport.Science advances · 2026Article
- Physical neural networks using sharpness-aware training.Nature communications · 2026Article
- Physical Interpretation of Diffractive Optical Networks for High-Dimensional Vortex Mode Sorting.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Optical neural networks with intensity‑based projection layers as effective nonlinear activations.Scientific reports · 2025Article
- Photonic neuromorphic computing using symmetry-protected zero modes in coupled nanolaser arrays.Nature communications · 2025Article
- Demonstration of a tunable non-Hermitian nonlinear microwave dimer.Nature communications · 2025Article
- Nonlinear inference capacity of fiber-optical extreme learning machines.Nanophotonics (Berlin, Germany) · 2025Article
- Photonic neural networks at the edge of spatiotemporal chaos in multimode fibers.Nanophotonics (Berlin, Germany) · 2025Article
- Principles and metrics of extreme learning machines using a highly nonlinear fiber.Nanophotonics (Berlin, Germany) · 2025Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Optical information processing and computing can potentially offer enhanced performance, scalability and energy efficiency. However, achieving nonlinearity-a critical component of computation-remains challenging in the optical domain. Here we introduce a design that leverages a multiple-scattering cavity to passively induce optical nonlinear random mapping with a continuous-wave laser at a low power. Each scattering event effectively mixes information from different areas of a spatial light modulator, resulting in a highly nonlinear mapping between the input data and output pattern. We demonstrate that our design retains vital information even when the readout dimensionality is reduced, thereby enabling optical data compression. This capability allows our optical platforms to offer efficient optical information processing solutions across applications. We demonstrate our design's efficacy across tasks, including classification, image reconstruction, keypoint detection and object detection, all of which are achieved through optical data compression combined with a digital decoder. In particular, high performance at extreme compression ratios is observed in real-time pedestrian detection. Our findings open pathways for novel algorithms and unconventional architectural designs for optical computing.
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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.