Michelson Interferometric Methods for Full Optical Complex Convolution

Autor: Haoyan Kang, Hao Wang, Jiachi Ye, Zibo Hu, Jonathan K. George, Volker J. Sorger, Maria Solyanik-Gorgone, Behrouz Movahhed Nouri

Publikováno v: Nanomaterials, Vol 14, Iss 15, p 1262 (2024)

Optical real-time data processing is advancing fields like tensor algebra acceleration, cryptography, and digital holography. This technology offers advantages such as reduced complexity through optical fast Fourier transform and passive dot-product

Externí odkaz: https://doaj.org/article/b03a4d66aefd495c87108249664ef7c2

Electronic Bottleneck Suppression in Next‐Generation Networks with Integrated Photonic Digital‐to‐Analog Converters

Autor: Jiawei Meng, Mario Miscuglio, Jonathan K. George, Aydin Babakhani, Volker J. Sorger

Publikováno v: Advanced Photonics Research, Vol 2, Iss 2, Pp n/a-n/a (2021)

Digital‐to‐analog converters (DAC) are indispensable functional units in signal processing instrumentation and wide‐band telecommunication links for both civil and military applications. As photonic systems are capable of high data throughput a

Externí odkaz: https://doaj.org/article/6d07ee223ad14d6f8ddd3c681a11eb28

Programmable chalcogenide-based all-optical deep neural networks

Autor: Ting Yu Teo, Xiaoxuan Ma, Ernest Pastor, Hao Wang, Jonathan K. George, Joel K. W. Yang, Simon Wall, Mario Miscuglio, Robert E. Simpson, Volker J. Sorger

Publikováno v: Teo, T Y, Ma, X, Pastor, E, Wang, H, George, J K, Yang, J K W, Wall, S, Miscuglio, M, Simpson, R E & Sorger, V J 2022, ' Programmable chalcogenide-based all-optical deep neural networks ', Nanophotonics, vol. 11, no. 17, pp. 4073-4088 . https://doi.org/10.1515/nanoph-2022-0099

We demonstrate a passive all-chalcogenide all-optical perceptron scheme. The network’s nonlinear activation function (NLAF) relies on the nonlinear response of Ge2Sb2Te5 to femtosecond laser pulses. We measured the sub-picosecond time-resolved opti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd29ed09e11b215017c6a3301741897b
https://pure.au.dk/portal/da/publications/programmable-chalcogenidebased-alloptical-deep-neural-networks(8eb0e871-4fce-48e7-a7d1-58a2a58e7801).html

Design and Testing of Integrated Photonic Chip for Convolution Neural Network

Autor: Nicola Peserico, Hangbo Yang, Xiaoxuan Ma, Shurui Li, Mostafa Hosseini, Jonathan K. George, Puneet Gupta, Chee Wei Wong, Volker J. Sorger

Publikováno v: Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP).

We present our implementation of a Convolution Neural Network employing an Integrated Photonic Chip (PIC) to perform the high-speed optical FFT, showing the Silicon Photonic design, the initial optical response, and packaging.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8d54a8e58be9436e7373e280537b96f7
https://doi.org/10.1364/isa.2022.ith3d.7

Chromatic Dispersion Correction with Generative Adversarial Networks

Autor: Jonathan K. George, Volker J. Sorger

Publikováno v: Frontiers in Optics + Laser Science 2022 (FIO, LS).

Compensating for chromatic dispersion in imaging systems is costly, often requiring multiple lenses. Here we explore post-processing correction for high chromatic dispersion using generative adversarial networks.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fb72b84a6db1181c418bf2a9cb2d6016
https://doi.org/10.1364/fio.2022.jw5a.65