5 papers
Deep Inverse-Designed Nanophotonic Processors with Structural Nonlinearity from Repeated Phase Encoding
Azka Maula Iskandar Muda, UÄur TeÄin
Passive nanophotonic scattering regions implement linear optical transformations, and cascading input-independent regions alone does not create functional depth because the resulti…
Optical Spiking Neural Networks via Rogue-Wave Statistics
Bahadır Utku Kesgin, Gülsüm Yaren Durdu, UÄur TeÄin
Optical computing could reduce the energy cost of artificial intelligence by leveraging the parallelism and propagation speed of light. However, implementing nonlinear activation,…
The role of modes in nonlinear fiber optical computing
Firdevs Yüce, Bora ÃarpınlıoÄlu, UÄur TeÄin
We investigate the nonlinear propagation of light in graded-index multimode fiber, utilizing it as an optical computing unit, and quantify how it employs waveguide modes to process…
Fiber-based diffractive deep neural network
Bahadır Utku Kesgin, Firdevs Yüce, UÄur TeÄin
Optical computing has reemerged as a promising alternative computing paradigm for providing energy-efficient information processing in the age of artificial intelligence. Among var…
Genetically programmable optical random neural networks
Bora ÃarpınlıoÄlu, UÄur TeÄin
Today, machine learning tools, particularly artificial neural networks, have become crucial for diverse applications. However, current digital computing tools to train and deploy a…