Programmable photonic circuits

By Wim Bogaerts, Daniel Pérez, José Capmany, David A. B. Miller, Joyce K. S. Poon, Dirk Englund, Francesco Morichetti, Andrea Melloni. Nature, 2020

1,250 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/47adef04ae07adb1425210e81a5d8045d3dae1ee

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Citations in the corpus

Roadmapping the next generation of silicon photonics (2023, background): “2b) [27–32], image projection [33], photonic switching [34], photonic computing [35–39], programmable circuits [40], and multiplexed biosensors [41].”
High-speed programmable photonic circuits in a cryogenically compatible, visible–near-infrared 200 mm CMOS architecture (2021, neutral): “When applying a potential difference, the strain imparts a phase change to the optical mode for a given length L ∆θ phase-shifter is , (1) ∆θ = (2π/λ)(∆n eff L + n eff ∆L) where is the free-space wavelength, is the static effective mode index, is the strain-induced path-length λ n eff ∆L change of t”
An on-chip photonic deep neural network for image classification (2021, background): “Recently, photonic implementations of deep neural networks have been reported 15-17 , 23-30 Here we report the demonstration of the first integrated end-to-end photonic deep neural network that utilises computation-by-propagation to perform instantaneous image classification.”
Experimentally realized in situ backpropagation for deep learning in photonic neural networks (2022, background): “[13] Wim Bogaerts, Daniel Pérez, José Capmany, David A.”
Ultra-compact nonvolatile phase shifter based on electrically reprogrammable transparent phase change materials (2021, background): “Abstract Optical phase shifters constitute the fundamental building blocks that enable programmable photonic integrated circuits (PICs)—the cornerstone of on-chip classical and quantum optical technologies [1, 2].”
The physics of optical computing (2023, background): “…matrix–vector multipliers, we typically want to be able to store matrices with as low energy cost as possible for maintaining the storage, but in a way that the matrix can be updated on demand many times, at reasonably high accuracy (say, 8 bits), and also with relatively low energy cost 57,138 .”