Prediction of Cross Port Output in Electro-optic Mach-Zehnder interferometer Using Artificial Neural Network
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Type
Article
Date
2024-03
Journal Title
Journal of Physics Research and Education
Journal Editor
Dey, Rajat Kumar
Journal ISSN
Volume Title
Publisher
University of North Bengal
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79Citation
Gayen, D. K., & Chattopadhyay, T. (2024). Prediction of Cross Port Output in Electro-optic Mach-Zehnder interferometer Using Artificial Neural Network. Journal of Physics Research and Education, 2, 65–70. https://ir.nbu.ac.in/handle/123456789/5178
Authors
Gayen, Dilip Kumar
Chattopadhyay, Tanay
Advisor
Editor
Abstract
Artificial neural networks are essential for the design and analysis of complex algorithms. We
have designed a circuit with an electro-optic Mach-Zehnder interferometer (EOMZI) driven by a
photodiode. The output from the EOMZI’s cross bar port is used. Then, we have developed a
photonic artificial neuron based on this setup. The outputs are validated using MATLAB, and the
Artificial neural networks successfully generate the sigmoid function corresponding to the EOMZI
switch’s cross port.
Description
Citation
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Volume
ISBN No
Volume Number
2
Issue Number
ISSN No
eISSN No
Pages
Pages
65 - 70