Abstract
Hardware implementation of artificial neural networks facilitates real-time parallel processing of massive data sets. Optical neural networks offer low-volume 3D connectivity together with large bandwidth and minimal heat production in contrast to electronic implementation. Here, we present a DMD based approaches to realize energetically efficient light coupling into a multi-core fiber realizing a unique design for in-fiber optical neural networks. Neurons and synapses are realized as individual cores in a multi-core fiber. Optical signals are transferred transversely between cores by means of optical coupling. Pump driven amplification in Erbium-doped cores mimics synaptic interactions. In order to dynamically and efficiently couple light into the multi-core fiber a DMD based micro mirror device is used to perform proper beam shaping operation. The beam shaping reshapes the light into a large set of points in space matching the positions of the required cores in the entrance plane to the multi-core fiber.
Original language | English |
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Title of host publication | Emerging Digital Micromirror Device Based Systems and Applications IX |
Editors | Michael R. Douglass, Benjamin L. Lee |
Publisher | SPIE |
ISBN (Electronic) | 9781510606753 |
DOIs | |
State | Published - 2017 |
Event | Emerging Digital Micromirror Device Based Systems and Applications IX - San Francisco, United States Duration: 30 Jan 2017 → 31 Jan 2017 |
Publication series
Name | Proceedings of SPIE - The International Society for Optical Engineering |
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Volume | 10117 |
ISSN (Print) | 0277-786X |
ISSN (Electronic) | 1996-756X |
Conference
Conference | Emerging Digital Micromirror Device Based Systems and Applications IX |
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Country/Territory | United States |
City | San Francisco |
Period | 30/01/17 → 31/01/17 |
Bibliographical note
Publisher Copyright:© 2017 SPIE.
Keywords
- Neural networks
- beam shaping
- multi-core fiber
- optical computing