ArticleNature communications2024
Ultrafast silicon photonic reservoir computing engine delivering over 200 TOPS.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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The trial behind it
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Who cites it
16 citing papers in PubMed.
- Photonic integrated circuits and their applications.National science review · 2026Article
- Brain-like optical computing: a pathway from edge intelligence to embodied intelligence.National science review · 2026Article
- High-speed reservoir computing using photonic integrated circuit optical parametric oscillators.Science advances · 2026Article
- On-chip non-volatile all-optical residual neural network accelerator.Light, science & applications · 2026Article
- High-precision time-domain parallelism photonic computing.Science advances · 2026Article
- Optical Fourier Surfaces for Integrated Photonics.ACS nano · 2026Article
- Morphologically tunable mycelium chips for physical reservoir computing.Scientific reports · 2026Article
- Memristive Physical Reservoir Computing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Deep Learning Enabled Ultrafast Optical Spectral Phase Retrieval via Unbalanced-Intensity Autocorrelation.Nanophotonics (Berlin, Germany) · 2026Article
- Diffractive Optical Neural Networks: Pathways Toward Intelligent and Scalable Photonic Computing.Nanophotonics (Berlin, Germany) · 2026Review
- Physical neural networks using sharpness-aware training.Nature communications · 2026Article
- Article
- Scalable photonic reservoir computing for parallel machine learning tasks.Nature communications · 2025Article
- Reservoir computing-driven inverse dynamics for autonomous vehicle trajectory tracking control.Scientific reports · 2025Article
- In-situ training in programmable photonic frequency circuits.Nanophotonics (Berlin, Germany) · 2025Article
- In-material physical computing based on reconfigurable microwire arrays via halide-ion segregation.Nature communications · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Reservoir computing (RC) is a powerful machine learning algorithm for information processing. Despite numerous optical implementations, its speed and scalability remain limited by the need to establish recurrent connections and achieve efficient optical nonlinearities. This work proposes a streamlined photonic RC design based on a new paradigm, called next-generation RC, which overcomes these limitations. Our design leads to a compact silicon photonic computing engine with an experimentally demonstrated processing speed of over 60 GHz. Experimental results demonstrate state-of-the-art performance in prediction, emulation, and classification tasks across various machine learning applications. Compared to traditional RC systems, our silicon photonic RC engine offers several key advantages, including no speed limitations, a compact footprint, and a high tolerance to fabrication errors. This work lays the foundation for ultrafast on-chip photonic RC, representing significant progress toward developing next-generation high-speed photonic computing and signal processing.
Identifiers
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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.