Original paper
Terahertz pulse shaping using diffractive surfaces
Abstract
Recent advances in deep learning have been providing non-intuitive solutions to various inverse problems in optics. At the intersection of machine learning and optics, diffractive networks merge wave-optics with deep learning to design task-specific elements to all-optically perform various tasks such as object classification and machine vision. Here, we present a diffractive network, which is used to shape an arbitrary broadband pulse into a...
Paper Details
Title
Terahertz pulse shaping using diffractive surfaces
Published Date
Jan 4, 2021
Journal
Volume
12
Issue
1
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