Project PHRESCO: PHRESCO: PHotonic REservoir COmputing
2015-11-01 – 2019-10-31
- Abstract
PHRESCO aims to bring photonic reservoir computing to the next level of maturity by adding key innovations to the original concept of passive reservoir networks. The hardware integration of beyond state-of-the-art photonic components with novel system and algorithm design will pave the way for new optical cognitive systems capable of handling huge amount of data at ultra-low power consumption.
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- Conference Paper
- C1
- open access
Optical computing in silicon photonics : self-adapting ring networks and quantum recurrent neural networks
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Photonic reservoir computing for high-speed neuromorphic computing applications
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Experimental demonstration of nonlinear fibre distortion compensation with integrated photonic reservoir computing
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- Journal Article
- A1
- open access
Experimental realization of integrated photonic reservoir computing for nonlinear fiber distortion compensation
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- Journal Article
- A1
- open access
Addressing limited weight resolution in a fully optical neuromorphic reservoir computing readout
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Photonic reservoir computing
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All-optical readout for integrated photonic reservoir computing
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- Conference Paper
- C1
- open access
Photontorch : simulation and optimization of large photonic circuits using the deep learning framework PyTorch
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A power-efficient architecture for on-chip reservoir computing
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Training passive photonic reservoirs with integrated optical readout