Experimental demonstration of reservoir computing on a silicon photonics chip
Kristof Vandoorne,Pauline Mechet,Thomas Van Vaerenbergh,Martin Fiers,Geert Morthier,David Verstraeten,Benjamin Schrauwen,Joni Dambre,Peter Bienstman +8 more
TLDR
This work proposes the first integrated passive silicon photonics reservoir and demonstrates that this generic chip can be used to perform arbitrary Boolean logic operations with memory as well as 5-bit header recognition up to 12.5 Gbit s(-1), without power consumption in the reservoir.Abstract:
Reservoir computing uses computational techniques related to neural networks to perform certain computing tasks. Here, the authors implement a passive optical reservoir computing scheme integrated on a silicon chip, operating at speeds up to 12.5 Gbit s−1.read more
Citations
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Deep learning with coherent nanophotonic circuits
TL;DR: A new architecture for a fully optical neural network is demonstrated that enables a computational speed enhancement of at least two orders of magnitude and three order of magnitude in power efficiency over state-of-the-art electronics.
Journal ArticleDOI
Recent advances in physical reservoir computing: A review
Gouhei Tanaka,Toshiyuki Yamane,Jean Benoit Héroux,Ryosho Nakane,Naoki Kanazawa,Seiji Takeda,Hidetoshi Numata,Daiju Nakano,Akira Hirose +8 more
TL;DR: An overview of recent advances in physical reservoir computing is provided by classifying them according to the type of the reservoir to expand its practical applications and develop next-generation machine learning systems.
Journal ArticleDOI
All-optical spiking neurosynaptic networks with self-learning capabilities.
TL;DR: An optical version of a brain-inspired neurosynaptic system, using wavelength division multiplexing techniques, is presented that is capable of supervised and unsupervised learning.
Posted Content
A Survey of Neuromorphic Computing and Neural Networks in Hardware.
Catherine D. Schuman,Thomas E. Potok,Robert M. Patton,J. Douglas Birdwell,Mark Edward Dean,Garrett S. Rose,James S. Plank +6 more
TL;DR: An exhaustive review of the research conducted in neuromorphic computing since the inception of the term is provided to motivate further work by illuminating gaps in the field where new research is needed.
Journal ArticleDOI
Neuromorphic photonic networks using silicon photonic weight banks.
Alexander N. Tait,Thomas Ferreira de Lima,Ellen Zhou,Allie X. Wu,Mitchell A. Nahmias,Bhavin J. Shastri,Paul R. Prucnal +6 more
TL;DR: First observations of a recurrent silicon photonic neural network, in which connections are configured by microring weight banks are reported, and a mathematical isomorphism between the silicon photonics circuit and a continuous neural network model is demonstrated through dynamical bifurcation analysis.
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