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Analysis and Design of an Optical Echo-Generator for Reservoir Computing
Asadi, Mohammad Mehrdad | 2024
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- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 57089 (05)
- University: Sharif University of Technology
- Department: Electrical Engineering
- Advisor(s): Memarian, Mohammad; Mehrany, Khashayar
- Abstract:
- Reservoir computing, a computational paradigm nested within recurrent neural networks, offers a powerful framework for processing time-dependent inputs, exhibiting remarkable performance in tasks such as voice recognition and time series approximation. Recently, there has been a burgeoning interest in implementing reservoir computing in the realm of optics due to its potential for reduced power consumption, increased bandwidth, and enhanced parallelization. The crux of implementing a reservoir computer with artificial neurons lies in utilizing a nonlinear function with a delay line, which accumulates temporally delayed outputs of the function, integrates them with new inputs, and feeds them back into the function. This process creates temporal connections between neurons. While fiber lines can be employed as delay lines, they often require impractically long lengths to achieve the desired delay, posing integration challenges. This study aims to design an echo generator in the optical domain using integrable micro-ring resonators. Micro-ring resonators offer several advantages, including high-quality factor, ease of implementation, and numerous degrees of freedom. We explore two different structures: one consisting of a single micro-ring resonator and several ideal modes, and the other incorporating multiple realistic micro-ring resonators to generate a diverse range of echoes. These echoes are then utilized as artificial neurons within a reservoir computer. To evaluate this design, we assess its performance in standard tasks, thereby demonstrating its efficacy and potential for practical applications
- Keywords:
- Quality Factor ; Practical Optical Resonator ; Reservoir Computers ; Optical Echo Generator ; Virtual Neuron
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