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On-Chip Passive Photonic Reservoir Computing with Integrated Optical Readout

Matthias Freiberger, Andrew Katumba, Peter Bienstman, Joni Dambre
2017 2017 IEEE International Conference on Rebooting Computing (ICRC)  
Further we introduce a new hardware-friendly training method for integrated optical readouts.  ...  Photonic reservoir computing is a recent bioinspired paradigm for signal processing. Despite first successes, the paradigm still faces challenges.  ...  ACKNOWLEDGMENT This research was funded by the EU Horizon 2020 PHRESCO Grant (Grant No. 688579) and the BELSPO IAP P7-35 program Photonics@be.  ... 
doi:10.1109/icrc.2017.8123673 dblp:conf/icrc/FreibergerKBD17 fatcat:f4zl3jvokrfeddrsuukhtjcwue

Photonic reservoir computing approaches to nanoscale computation

Andrew Katumba, Peter Bienstman, Joni Dambre
2015 Proceedings of the Second Annual International Conference on Nanoscale Computing and Communication - NANOCOM' 15  
Reservoir computing with integrated nanophotonics potentially offers lowpower, high-bandwidth signal processing for telecommunication applications.  ...  Our simulations show that a smallscale low-power integrated photonic reservoir achieves stateof-the-art performance for regenerating optical signals that have traversed fiber lengths of up to 200 km.  ...  Early work on reservoir computing with integrated photonics [6] demonstrated the promise of this technology.  ... 
doi:10.1145/2800795.2800827 dblp:conf/nanocom/KatumbaBD15 fatcat:uc2b5hxj6zbrbmqvckciawac4i

Neuromorphic Computing Based on Silicon Photonics and Reservoir Computing

Andrew Katumba, Matthias Freiberger, Floris Laporte, Alessio Lugnan, Stijn Sackesyn, Chonghuai Ma, Joni Dambre, Peter Bienstman
2018 IEEE Journal of Selected Topics in Quantum Electronics  
We show how passive reservoir computing chips can be used to perform a variety of tasks (bit level tasks, nonlinear dispersion compensation, ...) at high speeds and low power consumption.  ...  In addition, we present a spatial analog of reservoir computing based on pillar scatterers and a cavity, that can be used to speed up classification of biological cells.  ...  CONCLUSION In this paper, we reviewed the concept of photonic reservoir computing, with a special emphasis on passive reservoir structures.  ... 
doi:10.1109/jstqe.2018.2821843 fatcat:26mxxddpcrhghfbn2uf6qbk3fe

Overview on the PHRESCO Project: PHotonic REServoir COmputing [chapter]

Jean-Pierre Locquet, PHRESCO Partners
2019 Lecture Notes in Computer Science  
PHRESCO focused on the development of efficient cognitive computing into a specific silicon-based technology by co-designing a new reservoir computing chip, including innovative electronic and photonic  ...  So far, a first-generation reservoir with 18 nodes and integrated readout was designed, fabricated, characterized and a training method has been developed.  ...  The chip was designed as a 2 Â 9 photonics swirl reservoir integrated with 3 readout technologies: a silicon readout, a vanadium oxide (VO2) readout and a barium titanate (BaTiO3) readout.  ... 
doi:10.1007/978-3-030-30493-5_14 fatcat:lciij4qonbhdjoiebu2eo3mtyu

Silicon photonics for neuromorphic information processing

Peter Bienstman, Joni Dambre, Andrew Katumba, Matthias Freiberger, Floris Laporte, Alessio Lugnan, Ken-ichi Kitayama, Bahram Jalali, Ata Mahjoubfar
2018 Optical Data Science: Trends Shaping the Future of Photonics  
We present our latest results on silicon photonics neuromorphic information processing based a.o. on techniques like reservoir computing.  ...  Additionally, we will touch upon new machine learning techniques to operate these integrated readouts.  ...  For a passive photonic reservoir with on-chip readout, this full observability is only obtained if a high-speed photodetector is implemented on the chip for each reservoir state to be read out.  ... 
doi:10.1117/12.2284391 fatcat:e624q3aezvasjhscclaqznf5sm

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
2014 Nature Communications  
Here we propose the first integrated passive silicon photonics reservoir.  ...  One of those techniques, reservoir computing (RC), is a decade old and has achieved state-of-the-art performance for processing sequential data.  ...  In our own previous work we have shown through reservoir simulations that integrated optical chips with a network of coupled semiconductor optical amplifiers can also be used, with the advantage of a much  ... 
doi:10.1038/ncomms4541 pmid:24662967 fatcat:7kyzsnikb5fgbksuiw6n4yspjq

Advances in photonic reservoir computing

Guy Van der Sande, Daniel Brunner, Miguel C. Soriano
2017 Nanophotonics  
We review the two main approaches to optical reservoir computing: networks implemented with multiple discrete optical nodes and the continuous system of a single nonlinear device coupled to delayed feedback  ...  The goal is to implement a reservoir computer in optics, where information is encoded in the intensity and phase of the optical field.  ...  All-optical RC based on delay systems has the potential to be integrated in a photonic chip. Nguimdo et al.  ... 
doi:10.1515/nanoph-2016-0132 fatcat:6oxhhenrufelfdduwx7tjapfai

A Neuromorphic Silicon Photonics Nonlinear Equalizer for Optical Communications with Intensity Modulation and Direct Detection

Andrew Katumba, Xin Yin, Joni Dambre, Peter Bienstman
2019 Journal of Lightwave Technology  
We present the design and numerical study of a nonlinear equalizer for optical communications based on silicon photonics and reservoir computing.  ...  The proposed equalizer leverages the optical information processing capabilities of integrated photonic reservoirs to combat distortions both in metro links of a few hundred kilometers and in high-speed  ...  The photonic reservoir computing equalizer in this work is based on the passive integrated reservoir design that was introduced in [32] .  ... 
doi:10.1109/jlt.2019.2900568 fatcat:p7mustz7kbbhllwmf4vno4m42e

Photonic Neural Networks: a Survey

Lorenzo De Marinis, Marco Cococcioni, Piero Castoldi, Nicola Andriolli
2019 IEEE Access  
We propose a taxonomy of the existing solutions (categorized into multilayer perceptrons, convolutional neural networks, spiking neural networks, and reservoir computing) with emphasis on proof-of-concept  ...  INDEX TERMS Artificial neural networks, neural network hardware, photonics, neuromorphic computing, photonic neural networks.  ...  A reservoir computing architecture realized with only passive photonic elements was demonstrated in [39] .  ... 
doi:10.1109/access.2019.2957245 fatcat:2ydkl3s3pnafnp23mzhjzb3iui

Improving Time Series Recognition and Prediction with Networks and Ensembles of Passive Photonic Reservoirs

Matthias Anton Freiberger, Stijn Sackesyn, Chonghuai Ma, Andrew Katumba, Peter Bienstman, Joni Dambre
2019 IEEE Journal of Selected Topics in Quantum Electronics  
A promising approach for low-power computing at high bitrates is integrated photonic reservoir computing.  ...  optical readouts and coupling schemes.  ...  reservoir computing on chip.  ... 
doi:10.1109/jstqe.2019.2929699 fatcat:judyiaclrjf3rmkfnwrkezjspq

A Multiple-Input Strategy to Efficient Integrated Photonic Reservoir Computing

Andrew Katumba, Matthias Freiberger, Peter Bienstman, Joni Dambre
2017 Cognitive Computation  
The best multiple-input reservoir designs can achieve the error rates of single-input ones with at least 2 orders of magnitude less total input power.  ...  Based on this, we carry out a full power-level exploration for each of the above input strategies.  ...  Acknowledgements This research was funded by the EU Horizon 2020 PHRESCO Grant (Grant No 688579), and the BELSPO IAP P7-35 program Photonics@be.  ... 
doi:10.1007/s12559-017-9465-5 fatcat:vd2c2qboync6xf265ob55s756i

Integrated photonic delay-lasers for reservoir computing

Guy Van der Sande, Krishan Harkhoe, Andrew Katumba, Peter Bienstman, Guy Verschaffelt, Marek Osiński, Yasuhiko Arakawa, Bernd Witzigmann
2020 Physics and Simulation of Optoelectronic Devices XXVIII  
Both are integrated on an active/passive InP photonic chip built on the Jeppix platform.  ...  We present experimental results of reservoir computing based on a semiconductor laser, operating in a single mode regime around 1550nm, with a 10.8cm delay line.  ...  Finally, we would like to thank BELSPO for funding through IAP P7-35 program Photonics@be, the Hercules Foundation and the Research Council of the VUB.  ... 
doi:10.1117/12.2550576 fatcat:4jlpsqcyy5efjpfi4vldejwefq

A brief review of integrated and passive photonic reservoir computing systems and an approach for achieving extra non-linearity in passive devices

Dachuan Wu, Yasha Yi, Yuxiao Zhang
2020 Science China Information Sciences  
Photonic-based reservoir computing (RC) systems have attracted significant attention.  ...  This study consists of two parts: firstly, a review on the published integrated and passive RC system is presented.  ...  An integrated and passive photonic device is usually fabricated on a Si wafer.  ... 
doi:10.1007/s11432-019-2837-0 fatcat:ir5hfvmemrh2hmzkgczactrrzm

Reservoir Computing Speeds Up

Miguel C. Soriano
2017 Physics  
Their computer, which is built with standard telecommunication devices, is capable of recognizing one million spoken words per second and lends itself to being integrated into a chip.  ...  In a reservoir computer, the network consists of an internal part, or reservoir, that's made of many interconnected units and a readout layer that both communicates with the reservoir and delivers an output  ...  All of its components-lasers, electro-optic modulators, and photodiodes-can be packed into a photonic integrated chip.  ... 
doi:10.1103/physics.10.12 fatcat:73673hpu7rehrd6qcymonk2ebu

Addressing limited weight resolution in a fully optical neuromorphic reservoir computing readout

Chonghuai Ma, Floris Laporte, Joni Dambre, Peter Bienstman
2021 Scientific Reports  
One of them is that, depending on the technology used, optical weighting elements may not share the same resolution as in the electrical domain.  ...  However, there are still some remaining obstacles to realizing the vision of a completely optical neuromorphic computer.  ...  We train all the tasks on fully integrated passive photonic reservoirs with optical integrated readout systems.  ... 
doi:10.1038/s41598-021-82720-4 pmid:33542496 fatcat:mqjnlmab25aw5b7qxd7wlnwqwi
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