Publications

Publications acknowledging Deeplight

Journals

  1. Tsakyridis, A., Giamougiannis, G., Totovic, A. and Pleros, N. (2022), Fidelity Restorable Universal Linear Optics. Adv. Photonics Res., 3: 2200001. https://doi.org/10.1002/adpr.202200001
  2. A. Totovic, et al. Programmable photonic neural networks combining WDM with coherent linear optics. Sci Rep 12, 5605 (2022). https://doi.org/10.1038/s41598-022-09370-y
  3. A. Totovic, et al. WDM Equipped Universal Linear Optics for Programmable Neuromorphic Photonic Processors. Neuromorphic Computing and Engineering (2022).
  4. G. Giamougiannis, A. Tsakyridis, Y. Ma, et. al., "A Coherent Photonic Crossbar for Scalable Universal Linear Optics," to appear in IEEE Journal of Lightwave Technology 2023
  5. M. Moralis-Pegios et al., "Neuromorphic Silicon Photonics and Hardware-Aware Deep Learning for High-Speed Inference," in Journal of Lightwave Technology, vol. 40, no. 10, pp. 3243-3254, 15 May15, 2022, doi: 10.1109/JLT.2022.3171831.
  6. George Dabos, Dimitris V. Bellas, Ripalta Stabile, Miltiadis Moralis-Pegios, George Giamougiannis, Apostolos Tsakyridis, Angelina Totovic, Elefterios Lidorikis, and Nikos Pleros, "Neuromorphic photonic technologies and architectures: scaling opportunities and performance frontiers [Invited]," Opt. Mater. Express 12, 2343-2367 (2022)
  7. G. Mourgias-Alexandris, M. Moralis-Pegios, A. Tsakyridis, N. Passalis, M. Kirtas, A. Tefas, T. Rutirawut, F. Y. Gardes, and N. Pleros, "Channel response-aware photonic neural network accelerators for high-speed inference through bandwidth-limited optics," Opt. Express 30, 10664-10671 (2022)
  8. A. Tsakyridis et al., "Universal Linear Optics for Ultra-Fast Neuromorphic Silicon Photonics Towards Fj/MAC and TMAC/sec/mm2 Engines," in IEEE Journal of Selected Topics in Quantum Electronics, vol. 28, no. 6: High Density Integr. Multipurpose Photon. Circ., pp. 1-15, Nov.-Dec. 2022, Art no. 8300815, doi: 10.1109/JSTQE.2022.3219288.
  9. C. Pappas, T. Moschos, T. Alexoudi, C. Vagionas and N. Pleros, "16-bit (4x4) Optical Random Access Memory (RAM) Bank," in Journal of Lightwave Technology, 2022, doi: 10.1109/JLT.2022.3205712.
  10. Mourgias-Alexandris, G., Moralis-Pegios, M., Tsakyridis, A. et al. Noise-resilient and high-speed deep learning with coherent silicon photonics. Nat Commun 13, 5572 (2022). https://doi.org/10.1038/s41467-022-33259-z
  11. G. Giamougiannis et al., "Universal Linear Optics Revisited: New Perspectives for Neuromorphic Computing with Silicon Photonics," in IEEE Journal of Selected Topics in Quantum Electronics, doi: 10.1109/JSTQE.2022.3228318.
  12. G. Giamougiannis et. al., "Neuromorphic silicon photonics with 50 GHz Tiled Matrix Multiplication for DL applications", to appear in Advanced Photonics 2023
  13. G. Giamougiannis et. al., "Analog nanophotonic computing going practical: Silicon Photonic Deep Learning engines for tiled optical matrix multiplication with dynamic precision", to appear in Nanophotonics 2023
  14. Passalis, Nikolaos, George Mourgias-Alexandris, Nikos Pleros, and Anastasios Tefas. 2020. “Initializing Photonic Feed-Forward Neural Networks Using Auxiliary Tasks.” Neural Networks 129: 103–8.

Conferences

  1. G. Mourgias-Alexandris et al., "A Silicon Photonic Coherent Neuron with 10GMAC/sec processing line-rate," 2021 Optical Fiber Communications Conference and Exhibition (OFC), 2021, pp. 1-3.
  2. N. Pleros et al., "Compute with Light: Architectures, Technologies and Training Models for Neuromorphic Photonic Circuits," 2021 European Conference on Optical Communication (ECOC), 2021, pp. 1-4, doi: 10.1109/ECOC52684.2021.9606046.
  3. G. Giamougiannis et al., "Silicon-integrated coherent neurons with 32GMAC/sec/axon compute line-rates using EAM-based input and weighting cells," 2021 European Conference on Optical Communication (ECOC), 2021, pp. 1-4, doi: 10.1109/ECOC52684.2021.9605987.
  4. A. Tsakyridis, G. Giamougiannis, A. Totovic, M. Moralis-Pegios, and N. Pleros, "Fidelity-Restorable Universal Linear Optics and Neuromorphic Photonics," in Conference on Lasers and Electro-Optics, Technical Digest Series (Optica Publishing Group, 2022), paper STh5G.3.
  5. A. Tsakyridis et al., "Silicon Photonic Neuromorphic Computing with 16 GHz Input Data and Weight Update Line Rates," 2022 Conference on Lasers and Electro-Optics (CLEO), 2022, pp. 1-2.
  6. M. Moralis-Pegios et. al., "Coherent photonic neuromorphic computing for high-speed deep learning applications", SPIE 2022
  7. M. Moralis-Pegios et al., "Photonic Neuromorphic Computing: Architectures, Technologies, and Training Models," 2022 Optical Fiber Communications Conference and Exhibition (OFC), 2022, pp. 01-03.
  8. G. Giamougiannis et. al., "High-speed analog photonic computing with tiled matrix multiplication and dynamic precision capabilities for DNNs", 2022 European Conference on Optical Communication (ECOC), 2022
  9. A. Totovic et. al. "Programmable Photonic Neural Networks for advanced Machine Learning tasks", submitted at Optical Fiber Communications Conference and Exhibition (OFC), 2023
  10. G. Giamougiannis et. al. "On-Chip Universal Linear Optics using a 4x4 Silicon Photonic Coherent Crossbar", to be presented at Optical Fiber Communications Conference and Exhibition (OFC), 2023
  11. C. Pappas, T. Moschos, T. Alexoudi, C. Vagionas and N. Pleros, "Caching with light: First demonstration of an Optical Cache Memory Prototype," 2022 Optical Fiber Communications Conference and Exhibition (OFC), 2022, pp. 1-3.
  12. Oikonomou, A. et al. (2022). A Robust, Quantization-Aware Training Method for Photonic Neural Networks. In: Iliadis, L., Jayne, C., Tefas, A., Pimenidis, E. (eds) Engineering Applications of Neural Networks. EANN 2022. Communications in Computer and Information Science, vol 1600. Springer, Cham. https://doi.org/10.1007/978-3-031-08223-8_35

Previous publicatons from Deeplight researchers on neuromophic photonics

Journals

  • A. R. Totović, G. Dabos, N. Passalis, A. Tefas and N. Pleros, "Femtojoule per MAC Neuromorphic Photonics: An Energy and Technology Roadmap," in IEEE Journal of Selected Topics in Quantum Electronics, vol. 26, no. 5, pp. 1-15, Sept.-Oct. 2020, https://ieeexplore.ieee.org/abstract/document/9006831
  • G. Mourgias-Alexandris et al., "Neuromorphic Photonics With Coherent Linear Neurons Using Dual-IQ Modulation Cells," in Journal of Lightwave Technology, vol. 38, no. 4, pp. 811-819, 15 Feb.15, 2020, https://ieeexplore.ieee.org/abstract/document/8880481