Intelligent all-fiber device: storage and logic computing

Abstract

The typical functions of the optical fiber are communication and sensing. However, the fiber functions need to extend to meet the requirements of the development of artificial intelligence. This paper achieves an all-fiber device with storage and logic computing functions using a single-mode fiber and Ge 2 Sb 2 Te 5 (GST) material. We use the pulse amplitude modulation (the switching energy is about 50 nJ) to switch the GST state for performing the eight-level data storage (3-bit). The all-fiber memory device has the advantages of high optical contrast (about 38%), good reversibility, and high repeatability. We implement the all-optical logic operations (“AND” and “OR”) by using two memory cells in series and parallel. For the first time, we use the single-mode optical fiber to realize storage and computing functions, and this intelligent fiber has tremendous application potential in intelligent optical fiber communication and portends a new paradigm for brain-like computing.

A Non-volatile Quasi-Continuous All-Optical Fiber Programmable Platform Based on GST-Coated Microspheres

“…In fact, GST-coated fiber microspheres have both opportunities and challenges in future storage memory and all-optical programming platform construction. The proposed modulation system can be well combined with the existing optical fiber network and has the advantages of low-loss and long-distance transmission . In addition, for the WGM microsphere cavities, the enhancement of the interaction between light and matter would only occur under the designed resonant wavelength, so the platform also shows the broad application prospects in wavelength division multiplexing systems. ,, However, to achieve these ultimate goals, the proposed all-optical fiber operation platform for now also has several challenges.…”

Óptica y fotónica: ciencia y tecnología de la luz

“…La supercomputadora Frontier del Laboratorio Nacional Oak Ridge del Departamento de Energía de Estados Unidos usa interconexión óptica, y en mayo de este año fue clasificada como la más rápida del mundo, capaz de ejecutar 10 18 operaciones por segundo (ORNL, 2022). La óptica también se utiliza en memorias y almacenamiento de datos (Lian et al, 2022;Liu et al, 2022).…”

Structural plasticity‐based hydrogel optical Willshaw model for one‐shot on‐the‐fly edge learning

“…[11][12][13][14][15][16][17][18][19][20][21][22] So far, there are two representative ways to implement optical neuromorphic computing, consisting of independent hardware fabrication (optical path configuration) and training (deep learning model optimization) stages. For example, in fabrication then training (Figure 1A) workflow, an optical neural network with tuneable weights, such as on-silicon GeSbTe phase change materials, 13,19,23 reprogrammable diffractive units, 24 or reprogrammable metasurface, 25 are first produced but not optimized. This is followed by ex-situ training with a conventional digital computer before mapping optimized model parameters to the optical hardware.…”