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Inverse-designed low-index-contrast structures on silicon photonics platform for vector-matrix multiplication

Authors :
Nikkhah, Vahid
Pirmoradi, Ali
Ashtiani, Farshid
Edwards, Brian
Aflatouni, Firooz
Engheta, Nader
Publication Year :
2023

Abstract

Inverse-designed Silicon photonic metastructures offer an efficient platform to perform analog computations with electromagnetic waves. However, due to computational difficulties, scaling up these metastructures to handle a large number of data channels is not trivial. Furthermore, a typical inverse-design procedure utilizes a small computational domain and therefore tends to employ resonant features to achieve its objectives. This results in structures that are narrow-bandwidth and highly sensitive to fabrication errors. Here, we employ a 2D inverse-design method based on the effective index approximation with a low-index contrast constraint. This results in compact amorphous lens systems which are generally feed-forward and low-resonance. We designed and experimentally demonstrated a vector-matrix product for a 2 x 2 and a 3 x 3 matrix. We also designed a 10 x 10 matrix using the proposed 2D computational method. These examples demonstrate that these techniques have the potential to enable larger-scale wave-based analog computing platforms.<br />Comment: 29 pages (including the main text and the supplementary materials), 10 figures (4 for the main text and 6 for supplementary materials)

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2302.00793
Document Type :
Working Paper