Universal on-chip polarization handling with deep photonic networks
Aycan Deniz Vit, Ujal Rzayev, Bahrem Serhat Danis, Ali Najjar Amiri, Kazim Gorgulu, Emir Salih Magden

TL;DR
This paper introduces a deep photonic network design framework using cascaded Mach-Zehnder Interferometers for universal on-chip polarization control, achieving high performance and rapid optimization.
Contribution
It presents a novel, efficient design paradigm for on-chip polarization handling devices using deep learning and physics-informed optimization, enabling versatile and high-performance photonic components.
Findings
Achieved over 20 dB extinction ratio in devices
Demonstrated flat-top transmission over 120 nm bandwidth
Optimized device responses in under a minute
Abstract
We propose a novel design paradigm for arbitrarily capable deep photonic networks of cascaded Mach-Zehnder Interferometers (MZIs) for on-chip universal polarization handling. Using a device architecture made of cascaded Mach-Zehnder interferometers, we modify and train the phase difference between interferometer arms for both polarizations through wide operation bandwidths. Three proof-of-concept polarization handling devices are illustrated using a software-defined, physics-informed neural framework, to achieve user-specified target device responses as functions of polarization and wavelength. These devices include a polarization splitter, a polarization-independent power splitter, and an arbitrary polarization-dependent splitter to illustrate the capabilities of the design framework. The performance for all three devices is optimized using transfer matrix calculations; and their final…
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Taxonomy
TopicsPhotonic and Optical Devices · Optical Network Technologies · Neural Networks and Reservoir Computing
