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Neuromorphic Silicon Photonic Networks

arXiv 1611.02272 ↗First posted 5 Nov 2016q-bio.NC cs.NE physics.opticscited by 66

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Abstract (arXiv)

Photonic systems for high-performance information processing have attracted renewed interest. Neuromorphic silicon photonics has the potential to integrate processing functions that vastly exceed the capabilities of electronics. We report first observations of a recurrent silicon photonic neural network, in which connections are configured by microring weight banks. A mathematical isomorphism between the silicon photonic circuit and a continuous neural network model is demonstrated through dynamical bifurcation analysis. Exploiting this isomorphism, a simulated 24-node silicon photonic neural network is programmed using "neural compiler" to solve a differential system emulation task. A 294-fold acceleration against a conventional benchmark is predicted. We also propose and derive power consumption analysis for modulator-class neurons that, as opposed to laser-class neurons, are compatible with silicon photonic platforms. At increased scale, Neuromorphic silicon photonics could access new regimes of ultrafast information processing for radio, control, and scientific computing.

Key facts. Cited by 66 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 Nov 2016.

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Citing papers per year: 2021: 10; 2022: 16; 2023: 13; 2024: 14; 2025: 4; 2026: 9.

66 papers.

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  1. 2021CrossLight: A Cross-Layer Optimized Silicon Photonic Neural Network Acceleratorcited by 29
  2. 2023Nonlinear Processing with Linear Opticscited by 19
  3. 2021Silicon Photonic Architecture for Training Deep Neural Networks with Direct Feedback Alignmentcited by 17
  4. 2022NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulationcited by 17
  5. 2021ROBIN: A Robust Optical Binary Neural Network Acceleratorcited by 15
  6. 2023Nonlinear optical encoding enabled by recurrent linear scatteringcited by 14
  7. 2021A compact butterfly-style silicon photonic-electronic neural chip for hardware-efficient deep learningcited by 13
  8. 2021Dynamic Precision Analog Computing for Neural Networkscited by 12
  9. 2022Single-Shot Optical Neural Networkcited by 12
  10. 2023Spatially Varying Nanophotonic Neural Networkscited by 12
  11. 2022Polarization Multiplexed Diffractive Computing: All-Optical Implementation of a Group of Linear Transformations Through a Polarization-Encoded Diffractive Networkcited by 10
  12. 2024Arbitrary control over multimode wave propagation for machine learningcited by 9
38 more
  1. 2023Multiplexed gradient descent: Fast online training of modern datasets on hardware neural networks without backpropagationcited by 8
  2. 2022Diffractive Interconnects: All-Optical Permutation Operation Using Diffractive Networkscited by 6
  3. 2024Towards Exact Gradient-based Training on Analog In-memory Computingcited by 6
  4. 2024SimPhony: A Device-Circuit-Architecture Cross-Layer Modeling and Simulation Framework for Heterogeneous Electronic-Photonic AI Systemcited by 6
  5. 2022Photonic Reconfigurable Accelerators for Efficient Inference of CNNs with Mixed-Sized Tensorscited by 5
  6. 2022Physics-aware Differentiable Discrete Codesign for Diffractive Optical Neural Networkscited by 5
  7. 2023M3ICRO: Machine Learning-Enabled Compact Photonic Tensor Core based on PRogrammable Multi-Operand Multimode Interferencecited by 5
  8. 2024TeMPO: Efficient Time-Multiplexed Dynamic Photonic Tensor Core for Edge AI with Compact Slow-Light Electro-Optic Modulatorcited by 5
  9. 2024SCATTER: Algorithm-Circuit Co-Sparse Photonic Accelerator with Thermal-Tolerant, Power-Efficient In-situ Light Redistributioncited by 5
  10. 2021BPLight-CNN: A Photonics-based Backpropagation Accelerator for Deep Learningcited by 4
  11. 2022Noise mitigation strategies in physical feedforward neural networkscited by 4
  12. 2023Integrated multi-operand optical neurons for scalable and hardware-efficient deep learningcited by 4
  13. 2025Analog In-memory Training on General Non-ideal Resistive Elements: The Impact of Response Functionscited by 4
  14. 2021Towards Memory-Efficient Neural Networks via Multi-Level in situ Generationcited by 3
  15. 2022Data-driven Modeling of Mach-Zehnder Interferometer-based Optical Matrix Multiplierscited by 3
  16. 2023Rubik's Optical Neural Networks: Multi-task Learning with Physics-aware Rotation Architecturecited by 3
  17. 2023A Blueprint for Precise and Fault-Tolerant Analog Neural Networkscited by 3
  18. 2023Effects of cavity nonlinearities and linear losses on silicon microring-based reservoir computingcited by 3
  19. 2022RF-Photonic Deep Learning Processor with Shannon-Limited Data Movementcited by 2
  20. 2022EEG Opto-processor: epileptic seizure detection using diffractive photonic computing unitscited by 2
  21. 2023Neural Network Methods for Radiation Detectors and Imagingcited by 2
  22. 2025Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compressioncited by 2
  23. 2021Comparison of Models for Training Optical Matrix Multipliers in Neuromorphic PICscited by 1
  24. 2021High Throughput Multi-Channel Parallelized Diffraction Convolutional Neural Network Acceleratorcited by 1
  25. 2022Inverse design of nano-photonic wavelength demultiplexer with a deep neural network approachcited by 1
  26. 2022NeuCASL: From Logic Design to System Simulation of Neuromorphic Enginescited by 1
  27. 2023Asymmetric leader-laggard cluster synchronization for collective decision-making with laser networkcited by 1
  28. 2024DOCTOR: Dynamic On-Chip Temporal Variation Remediation Toward Self-Corrected Photonic Tensor Acceleratorscited by 1
  29. 2024Integration of Programmable Diffraction with Digital Neural Networkscited by 1
  30. 2024Quantum-secure multiparty deep learningcited by 1
  31. 2024Coherence Awareness in Diffractive Neural Networkscited by 1
  32. 2026Local learning for stable backpropagation-free neural network training towards physical learningcited by 1
  33. 2021A Photonic-Circuits-Inspired Compact Network: Toward Real-Time Wireless Signal Classification at the Edgecited by 0
  34. 2022A photonic chip-based machine learning approach for the prediction of molecular propertiescited by 0
  35. 2022Parallel bandit architecture based on laser chaos for reinforcement learningcited by 0
  36. 2022LiteCON: An All-Photonic Neuromorphic Accelerator for Energy-efficient Deep Learning (Preprint)cited by 0
  37. 2022Sophisticated deep learning with on-chip optical diffractive tensor processingcited by 0
  38. 2023Convergence and scaling of Boolean-weight optimization for hardware reservoirscited by 0

50 most cited of 66 All 66 (JSON)