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Photonic Reservoir Computing

Research Area: Neuromorphic computing enabled by integrated photonics

Main Researcher: Peter Bienstman

Reservoir computing is a recently proposed methodology from the field of machine learning and neural networks, which has been used successfully in several pattern classification problems, like speech and image recognition. However, it has so far been used mainly in a software implementation, which limits its speed and power efficiency. Photonics could provide an excellent platform for such a hardware implementation, because of the presence of unique non-linear dynamics in photonics components due to the interplay of photons and electrons, and because light also has a phase in addition to an amplitude, which provides for an important additional degree of freedom as opposed to a purely electronic hardware implementation.

This research is supported by an ERC starting grant and happens in close collaboration with the Reservoir lab at the Elis department.


Other people involved:

Related Research Projects

PhD thesises

Patents

Publications

    International Journals

  1. A. Lugnan, E.J.C. Gooskens, J. Vatin, J. Dambre, P. Bienstman, Machine learning issues and opportunities in ultrafast particle classification for label‑free microflow cytometry, Scientific Reports, 10(1), p.1-13 doi:10.1038/s41598-020-77765-w (2020)  Download this Publication (2MB).
  2. D. Brunner, A. Marandi, W. Bogaerts, A. Ozcan, Editorial: Photonics for computing and computing for photonics, Nanophotonics (invited), 9(13), p.4053-4054 doi:10.1515/nanoph-2020-0470 (2020)  Download this Publication (136KB).
  3. M. Freiberger, A. Katumba, P. Bienstman, J. Dambre, Training Passive Photonic Reservoirs with Integrated Optical Readout, IEEE Transactions on Neural Networks and Learning Systems, 30(7), p.1943-1953 doi:10.1109/tnnls.2018.2874571 (2019).
  4. F. Laporte, J. Dambre, P. Bienstman, Highly parallel simulation and optimization of photonic circuits in time and frequency domain based on the deep-learning framework PyTorch, Scientific Reports, 9(1), p.5918 doi:10.1038/s41598-019-42408-2 (2019)  Download this Publication (1.3MB).
  5. A. Katumba, X. Yin, J. Dambre, P. Bienstman, A Neuromorphic Silicon Photonics Nonlinear Equalizer for Optical Communication with Intensity Modulation and Direct-Detection, Journal of Lightwave Technologies, 37(10), p.2232-2239 doi:10.1109/JLT.2019.2900568 (2019)  Download this Publication (932KB).
  6. F. Denis-le Coarer, M. Sciamanna, A. Katumba, M. Freiberger, J. Dambre, P. Bienstman, D. Rontani, All-optical reservoir computing on a photonic chip using silicon-based ring resonators, IEEE Journal on Selected Topics in Quantum Electronics, 24(6), doi:10.1109/JSTQE.2018.2836985 (2018).
  7. A. Katumba, M. Freiberger, F. Laporte, A. Lugnan, S. Sackesyn, C. Ma, J. Dambre, P. Bienstman, Neuromorphic computing based on silicon photonics and reservoir computing, IEEE Journal on Selected Topics in Quantum Electronics (invited), 24(6), p.8300310 (10 pages) doi:10.1109/JSTQE.2018.2821843 (2018).
  8. F. Laporte, A. Katumba, J. Dambre, P. Bienstman, Numerical demonstration of neuromorphic computing with photonic crystal cavities, Optics Express, 26(7), p.7955-7964 doi:10.1364/OE.26.007955 (2018)  Download this Publication (8.3MB).
  9. A. Katumba, J. Heyvaert, B. Schneider, S. Uvin, J. Dambre, P. Bienstman, Low-Loss Photonic Reservoir Computing with Multimode Photonic Integrated Circuits, Scientific Reports, 8(1), p.2653 doi:10.1038/s41598-018-21011-x (2018)  Download this Publication (1.3MB).
  10. A. Lugnan, J. Dambre, P. Bienstman, Integrated pillar scatterers for speeding up classification of cell holograms, Optics Express, 25(24), p.30526-30538 doi:10.1364/oe.25.030526 (2017)  Download this Publication (3MB).
  11. A. Katumba, M. Freiberger, J. Dambre, P. Bienstman, A Multiple-Input Strategy to Efficient Integrated Photonic Reservoir Computing, Cognitive Computation, 9(3), p.307-314 doi:10.1007/s12559-017-9465-5 (2017).
  12. Michiel Hermans, Miguel C. Soriano, J. Dambre, P. Bienstman, Ingo Fisher, Photonic delay systems as machine learning implementations, Journal of Machine Learning Research, 16, p.2081-2097 (2015)  Download this Publication (1MB).
  13. M. Fiers, T. Van Vaerenbergh, F. Wyffels, D. Verstraeten, B. Schrauwen, J. Dambre, P. Bienstman, Nanophotonic reservoir computing with photonic crystal cavities to generate periodic patterns, IEEE Transactions on Neural Networks and Learning Systems, 25(2), p.344 - 355 doi:10.1109/tnnls.2013.2274670 (2014)  Download this Publication (1.8MB).
  14. K. Alexander, T. Van Vaerenbergh, M. Fiers, P. Mechet, J. Dambre, P. Bienstman, Excitability in optically injected microdisk lasers with phase controlled excitatory and inhibitory response, Optics Express, 21(22), p.26182-26191 doi:10.1364/oe.21.026182 (2013)  Download this Publication (1.3MB).
  15. T. Van Vaerenbergh, K. Alexander, J. Dambre, P. Bienstman, Excitation transfer between optically injected microdisk lasers, Optics Express, 21(23), p.28922-28932  doi:10.1364/oe.21.028922 (2013)  Download this Publication (1.3MB).
  16. T. Van Vaerenbergh, J. Dambre, P. Bienstman, J.A. Levenson, A. Yacomotti, Lumped circuit heat model of photonic crystal membrane nanocavities, IEEE Journal of Quantum Electronics, p.967 - 969  doi:10.1109/jqe.2013.2283576 (2013)  Download this Publication (383KB).
  17. T. Van Vaerenbergh, M. Fiers, J. Dambre, P. Bienstman, Simplified description of self-pulsation and excitability by thermal and free-carrier effects in semiconductor microcavities, Physical Review A, 86(6), p.063808 doi:10.1103/PhysRevA.86.063808 (2012)  Download this Publication (1.3MB).
  18. T. Van Vaerenbergh, M. Fiers, P. Mechet, T. Spuesens, R. Kumar, G. Morthier, B. Schrauwen, J. Dambre, P. Bienstman, Cascadable Excitability in microrings, Optics Express, 20(18), p.20292-20308 doi:10.1364/oe.20.020292 (2012)  Download this Publication (3.6MB).
  19. M. Fiers, T. Van Vaerenbergh, K. Caluwaerts, D. Vande Ginste, B. Schrauwen, J. Dambre, P. Bienstman, Time-domain and frequency-domain modeling of nonlinear optical components on circuit-level using a node-based approach, Journal of the Optical Society of America B, 29(5), p.896–900 doi:10.1364/josab.29.000896 (2012)  Download this Publication (482KB).
  20. K.T Vandoorne, J. Dambre, D. Verstraeten, B. Schrauwen, P. Bienstman, Parallel reservoir computing using optical amplifiers, IEEE Transactions on Neural Networks, 22(9), p.1469-1481 doi:10.1109/tnn.2011.2161771 (2011)  Download this Publication (520KB).
  21. B. Maes, M. Fiers, P. Bienstman, Self-pulsing and chaos in short chains of coupled nonlinear microcavities, Physical Review A, 80, p.033805 doi:10.1103/physreva.80.033805 (2009)  Download this Publication (1.1MB).
  22. K.T Vandoorne, W. Dierckx, B. Schrauwen, D. Verstraeten, R. Baets, P. Bienstman, J. Van Campenhout, Toward optical signal processing using Photonic Reservoir Computing, Optics Express, 16(15), p.11182-11192 doi:10.1364/oe.16.011182 (2008)  Download this Publication (285KB).
    Book / Book Chapter

  1. A. Katumba, M. Freiberger, F. Laporte, A. Lugnan, S. Sackesyn, C. Ma, J. Dambre, P. Bienstman, Integrated on-chip reservoirs, (invited) publication in Photonic Reservoir Computing: Optical Recurrent Neural Networks ,  (to be published).
    International Conferences

  1. F. Laporte, A. Katumba, M. Freiberger, A. Lugnan, S. Sackesyn, C. Ma, E.J.C. Gooskens, J. Dambre, P. Bienstman, Photonic Reservoir Computing, Photonic Integration Week (invited), Spain, (2020).
  2. S. Sackesyn, C. Ma, A. Katumba, F. Denis-le Coarer, J. Dambre, P. Bienstman, A power-efficient architecture for silicon photonic reservoir computing, accepted for publication in IEEE Photonics Society Benelux Chapter Annual Symposium 2019, Netherlands,  (to be published).
  3. S. Sackesyn, C. Ma, A. Katumba, J. Dambre, P. Bienstman, A power-efficient architecture for on-chip reservoir computing, Artificial Neural Networks and Machine Learning ICANN 2019: Workshop and Special Sessions. ICANN 2019. Lecture Notes in Computer Science, 11731, Germany, p.161-164 doi:10.1007/978-3-030-30493-5_16 (2019).
  4. F. Laporte, J. Dambre, P. Bienstman, Photontorch: Simulation and Optimization of Large Photonic Circuits Using the Deep Learning Framework PyTorch, IEEE Photonics Society Summer Topicals, United States, p.paper WE1.2 doi:10.1109/phosst.2019.8794941 (2019)  Download this Publication (271KB).
  5. C. Ma, S. Sackesyn, J.Dambre, P. Bienstman, All-Optical Readout for Integrated Photonic Reservoir Computing, 2019 21st International Conference on Transparent Optical Networks (ICTON) (invited), France, p.paper Fr.D5.4 (4 pages) doi:10.1109/ICTON.2019.8840492 (2019).
  6. K. Harkhoe, G. Verschaffelt, A. Katumba, P. Bienstman, G. Van der Sande, Delay Based Reservoir Computing on Integrated InP Photonic Chip, Cognitive Computing: Merging Concepts with Hardware, Germany, p.2 (2018).
  7. S. Sackesyn, C. Ma, J. Dambre, P. Bienstman, An enhanced architecture for silicon photonic reservoir computing, Cognitive Computing 2018: Merging Concepts with Hardware, Germany, (2018)  Download this Publication (139KB).
  8. M. Freiberger, P. Bienstman, J. Dambre, Improving Time Series Prediction with Ensembles of Integrated Photonic Reservoirs, Cognitive Computing 2018: Merging Concepts with Hardware, Germany, p.2 (2018)  Download this Publication (216KB).
  9. C. Ma, F. Laporte, S. Sackesyn, J.Dambre, P. Bienstman, Optical readout for low resolution weighting and easy observation for integrated photonic reservoir computing, accepted for publication in IEEE Benelux Chapter Annual Symposium 2019,  (to be published).
  10. A. Lugnan, J. Dambre, P. Bienstman, Numerical investigation of integrated dielectric pillars to simplify machine learning classification of cells, 23rd Annual Symposium of the IEEE Photonics Benelux Chapter, Belgium, (2018)  Download this Publication (524KB).
  11. K. Harkhoe, G. Verschaffelt, A. Katumba, P. Bienstman, G. Van der Sande, Integrated Delay Based Photonic Reservoir Computing, Proceedings of the 23rd Annual Symposium of the IEEE Photonics Benelux Chapter, Belgium, (2018).
  12. F. Laporte, J. Dambre, P. Bienstman, Neuromorphic Computing with Signal-Mixing Cavities, IEEE International Conference on Rebooting Computing, United States, doi:10.1109/icrc.2018.8638622 (2018).
  13. A. Katumba, X. Jin, J. Dambre, P. Bienstman, Silicon Photonics Neuromorphic Computing and its Application to Telecommunications, 44th European Conference on Optical Communication (invited), Italy, p.paper Mo4H (3 pages) doi:10.1109/ecoc.2018.8535262 (2018)  Download this Publication (461KB).
  14. G. Van der Sande, K. Harkhoe, A. Katumba, P. Bienstman, G. Verschaffelt, Semiconductor lasers with delayed optical feedback for reservoir computing: short external cavities and multi-mode lasers, International Conference on Control of Self-Organizing Nonlinear Systems (invited), Germany, p.9 (2018)  Download this Publication (671KB).
  15. A. Lugnan, J. Dambre, P. Bienstman, Integrated dielectric scatterers for speeding up classification of cell diffraction patterns, 2018 20th International Conference on Transparent Optical Networks (ICTON) (invited), Romania, p.We.A6.3, 4pp. doi:10.1109/ICTON.2018.8473611 (2018)  Download this Publication (771KB).
  16. F. Denis-le Coarer, D. Rontani, A. Katumba, M. Freiberger, J. Dambre, P. Bienstman, M. Sciamanna, Toward neuro-inspired computing using a small network of micro-ring resonators on an integrated photonic chip, SPIE PHOTONICS EUROPE, 10689, France, p.1068908-9 doi:10.1117/12.2306780 (2018).
  17. A. Lugnan, J. Dambre, P. Bienstman, Integrated dielectric scatterers for fast optical classification of biological cells, SPIE Photonics Europe, 10689(07), France, p.1-7 doi:10.1117/12.2306654 (2018)  Download this Publication (636KB).
  18. P. Bienstman, J. Dambre, A. Katumba, M. Freiberger, F. Laporte, A. Lugnan, Photonic reservoir computing: a brain-inspired approach for information processing, The Optical Fiber Communication Conference (OFC) (invited), United States, p.paper M4F.4 (3 pages) doi:10.1364/OFC.2018.M4F.4 (2018).
  19. P. Bienstman, J. Dambre, A. Katumba, M. Freiberger, F. Laporte, A. Lugnan, Silicon photonics for neuromorphic information processing , SPIE Photonics West (invited), DL 10551, United States, p.paper 10551-19 (7 pages) doi:10.1117/12.2284391 (2018).
  20. D. Rontani, F. Denis-Le Coarer, A. Katumba, M. Freiberger, J. Dambre, P. Bienstman, M. Sciamanna, Reservoir Computing with Nonlinear Micro-Resonators on a Silicon Photonics Chip, International Symposium on Nonlinear Theory and Its Applications, Mexico, p.paper 5192, session A3LC (2017)  Download this Publication (672KB).
  21. M. Freiberger, A. Katumba, J. Dambre, P. Bienstman, On-chip passive photonic reservoir computing with integrated optical readout, ICRC2017, the IEEE International Conference on Rebooting Computing 2017, United States, p. 255 - 258 doi:10.1109/ICRC.2017.8123673 (2017).
  22. A. Katumba, M. Freiberger, J. Heyvaert, J. Dambre, P. Bienstman, Building Scalable Integrated Silicon Photonics Reservoirs for Signal Processing, Frontiers in Optics, United States, p.paper JTu2A.92 (2 pages) doi:10.1364/FIO.2017.JTu2A.92 (2017).
  23. F. Laporte, J. Dambre, P. Bienstman, Reservoir Computing with signal-mixing cavities, 19th International Conference on Transparent Optical Networks (ICTON) (invited), Spain, p.We.A5.3 doi:10.1109/ICTON.2017.8024990 (2017).
  24. A. Katumba, M. Freiberger, J. Dambre, P. Bienstman, Passive integrated photonics reservoir computing with on-chip readout for telecommunication applications, Dynamical Systems and Brain Inspired Computing 2017 (invited), Belgium, (2017).
  25. A. Lugnan, J. Dambre, P. Bienstman, Integrated pillar scatterers for speeding up classification of cell holograms through a RC-like machine learning approach, Workshop on Dynamical Systems and Brain-inspired Information Processing, Belgium, (2017)  Download this Publication (556KB).
  26. A. Katumba, P. Bienstman, J. Dambre, Photonic reservoir computing for telecom applications, Dynamical systems and brain-­‐inspired information processing, France, (2015).
  27. A. Katumba, P. Bienstman, J. Dambre, Photonic reservoir computing approaches to nanoscale computation, International Conference on Nanoscale Computing and Communication (NANOCOM, United States, doi:10.1145/2800795.2800827 (2015)  Download this Publication (202KB).
  28. T. Van Vaerenbergh, M. Fiers, J. Dambre, P. Bienstman, An optical delayline based on excitable microrings, IEEE Photonics Conference, United States, p.118-119 doi:10.1109/ipcon.2014.6995240 (2014)  Download this Publication (447KB).
  29. T. Van Vaerenbergh, M. Fiers, J. Dambre, P. Bienstman, Simulation of nonlinear optical resonator circuits, NUSOD 2014, Spain, p.103-104 doi:10.1109/nusod.2014.6935377 (2014)  Download this Publication (1.6MB).
  30. T. Van Vaerenbergh, M. Fiers, J. Dambre, P. Bienstman, Towards integrated optical spiking neural networks: delaying spikes on chip, Laser Dynamics and Nonlinear Photonics, 2013 Sixth "Rio De La Plata" Workshop on (invited), 1, Uruguay, p.9-12 doi:10.1109/LDNP.2013.6777418 (2013).
  31. P. Bienstman, K.T Vandoorne, T. Van Vaerenbergh, M. Fiers, B. Schneider, B. Schrauwen, J. Dambre, Using silicon nanophotonics for digital and analog signal processing with reservoir computing, Progress In Electromagnetics Research Symposium (PIERS 2013) (invited), Sweden, p.64 (2013)  Download this Publication (21KB).
  32. Q. Vinckier, F. Duport, A. Smerieri, K.T Vandoorne, P. Bienstman, M. Haelterman, S. Massar, Conception et realisation d'un ordinateur analogique tout optique de type "reservoir" a l’aide d’une cavite optique lineaire passive fonctionnant en lumiere coherente, Horizons de l'optique, France, p.3 (2013)  Download this Publication (293KB).
  33. P. Bienstman, K.T Vandoorne, T. Van Vaerenbergh, M. Fiers, B. Schneider, B. Schrauwen, J. Dambre, Using silicon nanophotonics for digital and analog signal processing with reservoir computing, Horizons de l'optique (invited), France, p.12 (2013)  Download this Publication (235KB).
  34. B. Schneider, J. Dambre, P. Bienstman, Reduction of analogue bandwidth requirement in photonic on-chip reservoir computing , Proceedings of the 2012 Annual Symposium of the IEEE Photonics Society Benelux Chapter, Belgium, p.227-230 (2012)  Download this Publication (527KB).
  35. T. Van Vaerenbergh, M. Fiers, P. Mechet, T. Spuesens, R. Kumar, G. Morthier, K.T Vandoorne, B. Schneider, B. Schrauwen, J. Dambre, P. Bienstman, Characterization of cascadable excitability in a silicon-on-insulator microring, Proceedings of the 2012 Annual Symposium of the IEEE Photonics Society Belenux Chapter, Belgium, p.119-122 (2012)  Download this Publication (471KB).
  36. T. Van Vaerenbergh, M. Fiers, P. Mechet, T. Spuesens, R. Kumar, G. Morthier, K.T Vandoorne, B. Schneider, B. Schrauwen, J. Dambre, P. Bienstman, Self-pulsation and excitability mechanism in silicon-on-insulator microrings , 2012 Asia Communications and Photonics Conference (ACP), China, p.ATh4B.5 doi:10.1364/ACP.2012.ATh4B.5 (2012).
  37. M. Fiers, K.T Vandoorne, T. Van Vaerenbergh, J. Dambre, B. Schrauwen, P. Bienstman, Optical Information Processing: Advances in Nanophotonic Reservoir Computing , International Conference on Transparent Optical Networks (invited), United Kingdom, doi:10.1109/icton.2012.6253889 (2012)  Download this Publication (553KB).
  38. M. Fiers, T. Van Vaerenbergh, K. Caluwaerts, J. Dambre, P. Bienstman, CAPHE: Time-domain and Frequency-domain Modeling of Nonlinear Optical Components, Advanced Photonics Congress, 2012 OSA, United States, p.paper IM2B.3 doi:10.1364/iprsn.2012.im2b.3 (2012)  Download this Publication (339KB).
  39. T. Van Vaerenbergh, M. Fiers, K.T Vandoorne, B. Schneider, J. Dambre, P. Bienstman, Towards a photonic spiking neuron: excitability in a silicon-on-insulator microring., 2012 International symposium on Nonlinear Theory and its Applications, Proceedings (NOLTA), Spain, p.767 - 770 doi:10.15248/proc.1.767 (2012)  Download this Publication (1.4MB).
  40. K.T Vandoorne, T. Van Vaerenbergh, M. Fiers, P. Bienstman, D. Verstraeten, B. Schrauwen, J. Dambre, Photonic reservoir computing and information processing with coupled semiconductor optical amplifiers, Fifth ‘RIO DE LA PLATA’ Workshop on Laser Dynamics and Nonlinear Photonics (invited), Uruguay, p.1-3 doi:10.1109/LDNP.2011.6162079  (2011)  Download this Publication (429KB).
  41. K.T Vandoorne, D. Verstraeten, B. Schrauwen, J. Dambre, P. Bienstman, Delays in photonic reservoir computing with semiconductor optical amplifiers, IEEE Photonics Benelux Chapter Annual Symposium, Belgium, (2011)  Download this Publication (628KB).
  42. K.T Vandoorne, M. Fiers, T. Van Vaerenbergh, D. Verstraeten, B. Schrauwen, J. Dambre, P. Bienstman, Advances in photonic reservoir computing on an integrated platform, International Conference on Transparent Optical Networks (ICTON) (invited), Sweden, p.Mo.B5.5 doi:10.1109/icton.2011.5970791 (2011)  Download this Publication (363KB).
  43. K.T Vandoorne, M. Fiers, D. Verstraeten, B. Schrauwen, J. Dambre, P. Bienstman, Optical signal processing with a network of semiconductor optical amplifiers in the context of photonic reservoir computing, SPIE Photonics West - OPTO, 7942, United States, p.79420P doi:10.1117/12.874165 (2011)  Download this Publication (841KB).
  44. K.T Vandoorne, J. Dambre, D. Verstraeten, B. Schrauwen, P. Bienstman, Delays in photonic reservoir computing with Semiconductor Optical Amplifiers, IEEE Photonics Benelux Chapter Annual Symposium, Netherlands, p.25-28 (2010)  Download this Publication (226KB).
  45. K.T Vandoorne, M. Fiers, D. Verstraeten, B. Schrauwen, J. Dambre, P. Bienstman, Photonic Reservoir Computing: a New Approach to Optical Information Processing, Workshop on "Cognitive and neural models for automated processing of speech and text" 2010 (CONAS), Belgium, (2010)  Download this Publication (97KB).
  46. K.T Vandoorne, M. Fiers, D. Verstraeten, B. Schrauwen, J. Dambre, P. Bienstman, Photonic Reservoir Computing: a New Approach to Optical Information Processing, International Conference on Transparent Optical Networks 2010 (ICTON) (invited), Germany, p.Th.A4.3 doi:10.1109/icton.2010.5548990 (2010)  Download this Publication (274KB).
  47. B. Maes, M. Fiers, K. Huybrechts, G. Morthier, P. Bienstman, Dynamics and Instabilities in Series of Coupled Nonlinear Resonators, ICTON 2009 (invited), Portugal, p.We.C4.3 doi:10.1109/icton.2009.5185249 (2009)  Download this Publication (172KB).
  48. K.T Vandoorne, W. Dierckx, B. Schrauwen, D. Verstraeten, P. Bienstman, R. Baets, J. Van Campenhout, Photonic reservoir computing with coupled semiconductor optical amplifiers, First International Workshop on Optical Supercomputing (OSC 2008), LNCS 5172, Austria, p.46-55 doi:10.1007/978-3-540-85673-3_4 (2008)  Download this Publication (6.4MB).
  49. K.T Vandoorne, P. Bienstman, A photonic implementation of reservoir computing, 12th Annual Symposium of the IEEE/LEOS Benelux Chapter, Belgium, p.195-198 (2007)  Download this Publication (2.5MB).
  50. K.T Vandoorne, P. Bienstman, A photonic implementation of reservoir computing, Proceedings Workshop of the IEEE/LEOS Benelux Chapter, Netherlands, p.25-26 (2007)  Download this Publication (213KB).
  51. K.T Vandoorne, P. Bienstman, R. Baets, A Photonic Implementation of Reservoir Computing, ePIXnet Winter School - Applications of Photonic Integration, Switzerland, p.65 (2007)  Download this Publication (257KB).
      National Conferences

    1. T. Van Vaerenbergh, M. Fiers, K.T Vandoorne, J. Dambre, P. Bienstman, Photonic Reservoir Computing using thermal nonlinearities in microrings, 12th FEA PhD Symposium, (2011)  Download this Publication (147KB).
    2. K.T Vandoorne, P. Bienstman, Photonic reservoir computing with SOAs and delays, FirW Doctoraatssymposium, Belgium, p.139 (2010)  Download this Publication (157KB).

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