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3 October 2024 Programmable unitary photonic architecture based on random layers
Kevin Zelaya, Matthew Markowitz, Mohhamad-Ali Miri
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Proceedings Volume PC13113, Photonic Computing: From Materials and Devices to Systems and Applications; PC1311307 (2024) https://doi.org/10.1117/12.3028164
Event: Nanoscience + Engineering, 2024, San Diego, California, United States
Abstract
This talk focuses on a universal unitary architecture based on layers of diagonal matrices and specific interlacing unitary matrices. Numerical evidence shows that such an interlacing matrix can have a random pattern as long as it fulfills the required density properties. In this regard, Haar-generated random matrices are suitable candidates that lead to suitable interlacing matrices. The efficacy of such random matrices is classified by a density criterion, which provides a priori conditions to ensure the validity of the interlacing matrix in question, reducing the computational workload due to heavy numerical optimization. This approach allows for more possibilities for further interlacing matrices beyond particular waveguide arrays. Also, the random nature of the interlacing matrix provides resilience due to manufacturing defects. These results are illustrated through some full-wave simulations.
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Kevin Zelaya, Matthew Markowitz, and Mohhamad-Ali Miri "Programmable unitary photonic architecture based on random layers", Proc. SPIE PC13113, Photonic Computing: From Materials and Devices to Systems and Applications, PC1311307 (3 October 2024); https://doi.org/10.1117/12.3028164
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KEYWORDS
Matrices
Data processing
Information technology
Manufacturing
Mathematical optimization
Photonic integrated circuits
Power consumption
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