Brunner, D.; Dudley, J.M.; Psaltis, D.; "Nobel Prizes awarded to AI-Pioneers: The Deep link between Computing and Physics (and Chemistry)," Photoniques 128, 12 (2024), DOI: 10.1051/photon/202212812.
Talukder, R.; Skalli, A.; Porte, X.; Thorpe, S.J.; Brunner, D.; "A spiking photonic neural network of 40.000 neurons, trained with rank-order coding for leveraging sparsity," submitted. arxiv:2411.19209
Skalli, A.; Goldmann, M. ; Haghighi, N.; Reitzenstein, S.; Lott, J.A.; Brunner, D.; "Annealing-inspired training of an optical neural network with ternary weights," submitted. arxiv:2409.01042
Momeni, A.; et al.,"Training of Physical Neural Networks," submitted (2024). arxiv.org:2406.03372.
Abreu, S. et al., "A photonics perspective on computing with physical substrates," Reviews in Physics 12, 100093 (2024), DOI: 10.1016/j.revip.2024.100093
Boikov, I.K.; Brunner, D.; De Rossi, A.; "Nonlinear integrated optical resonators for optical fibre data recovery," Optics Express 32, 34223 (2024). DOI: 10.1364/OE.529499. arxiv:2405.06102.
Semenova, N.; Brunner, D.; "Impact of white noise in artificial neural networks trained for classification: Performance and noise mitigation strategies," Chaos 34, 051101 (2024). DOI: 10.1063/5.0206807. arxiv:2411.04354
Grabulosa, A.;Moughames, J.; Porte, X.; Kadic, M.; Brunner, D.; "Additive 3D photonic integration that is CMOS compatible", Nanotechnology 34, 322002 (2023). DOI: 10.1088/1361-6528/acd0b5. arxiv:2301.00983
Pflüger, M.; Brunner, D.; Heuser, T.; Lott, J.A.; Reitzenstein, S.; Fischer, I.; "Injection locking and coupling the emitters of large VCSEL arrays via diffraction in an external cavity", Optics Express 31, 8704 (2023). DOI: 10.1364/OE.473449. arxiv:2208.09765
2022
Cucchi, M.; Abreu, S.; Ciccone, G.; Brunner, D.; Kleemann, H.; "Hands-on reservoir computing: a tutorial for practical implementation," Neuromorph. Comput. Eng. 2, 032002 (2022).DOI: 10.1088/2634-4386/ac7db7/meta#nceac7db7s5
Skalli, A.; Porte, X.; Haghighi, N.; Reitzenstein, S.; Lott, J.A.; Brunner, D.; "Computational metrics and parameters of an injection-locked large area semiconductor laser for neural network computing," Optical Materials Express 12, 2793 (2022). DOI: 10.1364/OME.451524. arXiv:2112.08947
Semenova, N.; Larger, L.; Brunner, D.; "Understanding and mitigating noise in trained deep neural networks," Neural Networks 146, 151 (2021). DOI: 10.1016/j.neunet.2021.11.008. arxiv:2103.07413.
Porte, X.; Brunner, D.; Fischer, I.; Soriano, M.; "Nonlinear Dynamics of a Single-Mode Semiconductor Laser with Long Delayed Optical Feedback: A Modern Experimental Characterization Approach ," Photonics 9, 47 2022. DOI: 10.3390/photonics9010047.
Brunner, D.; Lager, L.; Soriano, M.C.; "Nonlinear photonic dynamical systems for unconventional computing," Nonlinear Theory and Its Applications, IEICE 13, 26-35 (2021). DOI: 10.1587/nolta.13.26. arxiv.org:2107.08874.
Dinc, N. U.; Psaltis, D.; Brunner, D.; "Optical Neural Networks: The 3D connection," Photonique 104, Focus: Photonics and Artificial intelligence, 34 (2020). DOI: 10.1051/photon/202010434
Moughames, J.; Porte, X.; Jacquot, M.; Larger, L.; Kadic, M.; Brunner, D.; "3D printed multimode-splitters for photonic interconnects," Optical Materials Express 10, 2952 (2020). DOI: 10.1364/OME.402974
Heuser, T.; Pfl üger, M.; Fischer, I.; Lott, J. A.; Brunner, D.; Reitzenstein, S.; "Developing of a photonic hardware platform for brain-inspired computing based on 5X5 VCSEL arrays," JPhys Photonics 2, 044002 (2020). DOI: 10.1088/2515-7647/aba671.
Brunner, D.; Marandi, A.; Bogaerts, W.; Ozcan, A.; "Editorial: Photonics for computing and computing for photonics", Nanophotonics 9, special issue: Photonics for computing and computing for photonics (2020). DOI: 10.1515/nanoph-2020-0470 .
Andreoli, L.; Porte, X.; Chrétien, S.; Jacquot, M.; Larger, L.; Brunner, D.; "Boolean learning under noise-perturbations in hardware neural networks," Nanophotonics 9, special issue: Photonics for computing and computing for photonics (2020). DOI: 10.1515/nanoph-2020-0171.
Pierangeli, D.; Marcucci, G.; Brunner, D.; Conti, C.; "Noise-enhanced spatial-photonic Ising machine," Nanophotonics 9, special issue: Photonics for computing and computing for photonics (2020). DOI: 10.1515/nanoph-2020-0119.
Moughames, J.; Porte, X.; Thiel, M.; Ulliac, G.; Jacquot, M.; Larger, L.; Kadic, M.; Brunner, D.; "Three-dimensional waveguide interconnects for scalable integration of photonic neural networks," Optica 7, 640 (2020). DOI: 10.1364/OPTICA.388205.
Prucnal, P.R.; Shastri, B.J.; Fischer, I.; Brunner, D.; "Introduction to JSTQE Issue on Photonics for Deep Learning and Neural Computing," IEEE Journal of Selected Topics in Quantum Electronics 26, 2965384 (2020). DOI: 10.1109/JSTQE.2020.2965384.
2019
Froehly, L.; Courvoisier, F.; Brunner, D.; Larger, L.; Devaux, F.; Lantz, E.; Dudley, J. M.; Jacquot, M.; "Advancing Fourier: space–time concepts in ultrafast optics, imaging, and photonic neural networks ," Journal of the Optical Society of America A 36, C69 (2019). DOI: 10.1364/JOSAA.36.000C69.
Semenova, N.; Porte, X.; Andreoli, L.; Jacquot, M.; Larger, L.; Brunner, D.; "Fundamental aspects of noise in analog-hardware neural networks," Chaos 29, 103128 (2019). DOI: 10.1063/1.5120824.
BOOK: "PHOTONIC RESERVOIR COMPUTING (Optical Recurrent Neural Networks)". Editors: Brunner, D.; Soriano, M.C.; Van der Sande, G.; De Gruyter (2019). link to publisher.
Chembo, Y.K.; Brunner, D.; Jacquot, M.; Larger, L.; "Optoelectronic oscillators with time-delayed feedback," Reviews of Modern Physics 91, 035006 (2019). DOI: 10.1103/RevModPhys.91.035006.
Maktoobi, S.; Froehly, L.; Anreoli, L.; Porte, X.; Jacquot, M.; Larger, L.; Brunner, B.; "Diffractive coupling for photonic networks: how big can we go?," IEEE Journal of Selected Topics in Quantum Electronics 26, 7600108 (2020). DOI: 10.1109/JSTQE.2019.2930454.
Penkovsky, B.; Porte, X.; Jacquot, M.; Larger, L.; Brunner, B.; "Coupled nonlinear delay systems as deep convolutional neural networks," Physical Review Letters 123, 054101 (2019). DOI: 10.1103/PhysRevLett.123.054101.
2018
Penkovsky, B.; Larger, L.; Brunner, B.; " Efficient design of hardware-enabled reservoir computing in FPGAs," Journal of Applied Physics 124, 162101 (2018). DOI: 10.1063/1.5039826
Brunner, D.; Penkovsky, B.; Marquez, B. A.; Fischer, I.; Larger, L.; "Tutorial: Photonic neural networks in delay systems," Journal of Applied Physics 124, 152004 (2018). DOI: 10.1063/1.5042342
Heuser, T.; Große, J.; Kaganskiy, A.; Brunner, D.; Reitzenstein, S.; "Fabrication of dense diameter-tuned quantum dot micropillar arrays for applications in photonic information processing," APL Photonics 3, 116103 (2018). DOI: 10.1063/1.5050669
Bueno, J.; Maktoobi, S.; Froehly, L.; Fischer, I.; Jacquot, M.; Larger, L.; Brunner, D.; "Reinforcement learning in a large-scale photonic recurrent neural network," Optica 5, 756 (2018). DOI: 10.1364/OPTICA.5.000756
Marquez, B. A.; Larger, L.; Jacquot, M.;Chembo, Y. K.; Brunner, D.; "Dynamical complexity and computation in recurrent neural networks beyond their fixed point," Scientific Reports 8, 3319 (2018). DOI: 10.1038/s41598-018-21624-2
2017
Brunner, D.; Jacquot, M.; Fischer, I.; Larger, L.; "Photonic networks for Neuromorphic Computing," Frontiers in Optics 2017, OSA Technical Digest, paper FTh2E.3. DOI: 10.1364/FIO.2017.FTh2E.3
Hicke, K.; Brunner, D.; Soriano, M. C.; Fischer, I.; "Role of dynamical injection locking and characteristic pulse events for low frequency fluctuations in semiconductor lasers," Chaos 27, 114307 (2017). DOI: 10.1063/1.5006945
Tchawou Tchuisseu, E. B.; Gomila, D.; Brunner, D.; Colet, P.; "Effects of dynamic-demand-control appliances on the power grid frequency," Phys. Rev. E 69, 022302 (2017). DOI: 10.1103/PhysRevE.96.022302
Brunner, D.; Jacquot, M.; Fischer, I.; Larger, L.; "A complex network of 1600 holographically coupled opto-electronic oscillators: network dynamics and utilisation for reservoir computing," 2017 European Conference on Lasers and Electro-Optics and European Quantum Electronics Conference, paper CD_10_4.. DOI: 10.1109/CLEOE-EQEC.2017.8086462
Bueno, J.; Brunner, D.; Soriano, M. C.; Fischer, I.; "Photonic Information Processing at 20GS/s rates based on Semiconductor Lasers with Delayed Optical Feedback ," 2017 European Conference on Lasers and Electro-Optics and European Quantum Electronics Conference, paper CD_P_38. DOI: 10.1109/CLEOE-EQEC.2017.8086565
Van der Sande, G.; Brunner, D.; Soriano, M. C.; "Advances in photonic reservoir computing," Nanophotonics 6, 561-576 (2017). DOI: 10.1515/nanoph-2016-0132
Bueno, J.; Brunner, D.; Soriano, M. C.; Fischer, I.; "Conditions for reservoir computing performance using semiconductor lasers with delayed optical feedback," Optics Express 25, 2401-2412 (2017). DOI: 10.1364/OE.25.002401
Brunner, D.; Luna, R.; Delhom i Latorre, A; Porte, X.; Fischer, I.; "Semiconductor laser linewidth reduction by six orders of magnitude via delayed optical feedback," Optics Letters 42, 163-166 (2017). DOI: 10.1364/OL.42.000163
2016
Brunner, D.; Reitzenstein, S.; Fischer, I.; "All-Optical Neuromorphic Computing in Optical Networks of Semiconductor Lasers," 2016 IEEE INTERNATIONAL CONFERENCE ON REBOOTING COMPUTING (ICRC). DOI: 10.1109/ICRC.2016.7738705
Marquez, B. A.; Larger, L.; Brunner, D.; Chembo, Y. K.; Jacquot, M.; "Interaction between Lienard and Ikeda dynamics in a nonlinear electro-optical oscillator with delayed bandpass feedback," Phys. Rev. E 94, 062208 (2016). DOI: 10.1103/PhysRevE.94.062208
Soriano M.C.; Brunner, D.; Escalona-Morán, M.; Mirasso, C.R.; Fischer, I.; “Minimal approach to neuro-inspired information processing, under review,” Frontiers in Computational Neuroscience 9, 68 (2015). DOI: 10.3389/fncom.2015.00068
2014
Porte, X; D'Huys, O; Jüngling, T; Brunner, D.; Soriano, M. C.; Fischer, I.; “Autocorrelation properties of chaotic delay dynamical systems: A study on semiconductor lasers,” Phys. Rev. E. 90, 052911 (2014). DOI: 10.1103/PhysRevE.90.052911
Houel, J.; Prechtel, J. H.; Brunner, D.; Kuklewicz, C. E.; Gerardot, B D.; Stoltz, N. G.; Petro, P. M.; Warburton; “High-resolution measurement of coherent population trapping of a single hole-spin in an InGaAs quantum dot using optical absorption spectroscopy,” Phys. Rev. Lett. 112, 107401 (2014). DOI: 10.1103/PhysRevLett.112.107401
2013
Kuhlmann, A.V.; Houel, J.; Brunner, D.; Ludwig, A.; Reuter, D.; Wieck, A.D.; Warburton, R.J.; “A dark-field microscope for background-free detection of resonance fluorescence from single semiconductor quantum dots operating in a set-and-forget mode,” Review of Scientific Instruments 84, 073905 (2013). DOI: 10.1063/1.4813879
Brunner, D.; Soriano, M. C.; Fischer, I.; “High-Speed Optical Vector and Matrix Operations Using a Semiconductor Laser,” IEEE Photonics Technology Letters 25, 1680. (2013). DOI: 10.1109/LPT.2013.2273373
Hicke, K.; Escalona, M.; Brunner, D.; Soriano, M.C.; Fischer, I.; Mirasso, C.; “Information Processing using transient Dynamics of semiconductor lasers subject to delayed feedback,” IEEE Journal of Selected Topics in Quantum Electronics 19 , 1501610 (2013). DOI: 10.1109/JSTQE.2013.2241738
Brunner, D.; Soriano, M.C.; Mirasso, C.; Fischer, I.; “Parallel photonic information processing at GByte/s data rates using transient states,” Nature Communications 4, 1364 (2013). DOI: 10.1038/ncomms2368
Gerardot, B.D.; Barbour, R.J.; Brunner, D.; Dalgarno, P.A.; Badolato, A.; Stoltz, N.; Petroff, M.P.; Houel, J.; Warburton, R.J.; “ Laser spectroscopy of individual quantum dots charged with a single hole,” Applied Physics Letters. 99, pp. 243112 (2011). DOI: 10.1063/1.3665951
Kloeffel, C.; Dalgarno, P.A.; Urbaszek, B.; Gerardot, B.D.; Brunner, D.; Petroff, P.M.; Loss; D.; Warburton, R.J.; “Controlling the Interaction of Electron and Nuclear Spins in a Tunnel-Coupled Quantum Dot,” Physical Review Letters. 106, pp. 046802 (2001). DOI: 10.1103/PhysRevLett.106.04680
Brunner, D; Gerardot, B.D.; Dalgarno. A.; Stoltz, N.G.; Petroff, M.P.; Warburton, R.J.; “Optical Manipulation Of A Single Spin In A Quantum Dot,” Journal of Physics Conference Series 2010.
