Fiber-Based Optical Data Processing: Volume II

Dear Colleagues,

The typical usage of fibers is in the transmission of information during optics communication or in performing imaging in fiber-based endoscopes. However, recently, the usage of fiber in fields related to optical data processing has also been demonstrated. Specifically, single-mode, multimode, and multicore fibers have been used in the realization of neural networks and in training/inference optical modules. The implementation of fiber-based optics in these directions is highly applicable, as it may use the already evolved infrastructure of optics communication in order to develop a good interface between the optical data processing unit and the external, usually electronic, environment.

In this Special Issue, we aim to provide a designated publishing platform for fiber-based optical data processing research, focusing on the integration of various types of fibers in optical data processing modalities, especially those based on artificial neural networks while including research work emphasizing the various possible fiber-based processing architectures, implementations, applications, and configurations. We invite researchers, investigators, and engineers working in this field to contribute original research or review articles. Papers on the latest technological developments and research breakthroughs using fibers for photonic data processing and computing are especially welcome.

Prof. Zeev Zalevsky
Guest Editor

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• Fiber-based optical computing and data processing
• Fiber-based fourier optics
• Fiber-based artificial neural networks
• Fiber-based deep learning architectures
• Optical training/inference fiber-based architectures
• Single/multimode and single/multicore fibers processing architectures
• Fiber-based optical storage
• Fiber-based quantum computing
• Processing of data from distributed fiber optics sensors