Year: 2026
Type: preprint
Abstract: Artificial intelligence (AI) and neural networks have driven groundbreaking innovations across numerous disciplines. Optical computing offers the promise of unprecedented speed and energy efficiency in the post-Moore era; however, achieving efficient, practical nonlinear activation using all-optical approaches remains a challenge. Here, we present an optical nonlinear neural processing unit (ONNPU) that implements all-optical nonlinear activation through a self-rectification mechanism. The ONNPU architecture perfectly imitates the structure of digital neural networks, enabling seamless integration with the established deep learning ecosystem. We benchmark ONNPU across nine diverse tasks spanning decision, regression and generation, including accuracies of 98.07% on MNIST and 93.54% on Fashion-MNIST. When integrated into a 201-million-parameter Vision Transformer, ONNPU achieves 82.4% top-1 accuracy on full ImageNet classification (1,000 categories); when integrated into a 117-million-parameter decoder-only Transformer, ONNPU enables short-form story generation that outperforms GPT-2. By addressing more complex and diverse deep learning tasks, ONNPU paves the way toward practical optical machine intelligence, unleashing significant potential for high-performance optical computing.
Source: arXiv (Cornell University)
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Awards: G103410699, G1884871005, G1972337063, G2126274494, G2327291213, G2380713555, 感存算控一体化的二维材料光电探测, G2464859538, G2484056298, G2760921556, G279213992, G2855995627, G288981071, G2952235266, G3007410625, G3343779172, G3351575641, G3829040011, G3977244068, G4107646580, G4271929152, G4352596107, G467976362, G4798483424, G486910673, G4981138376, G4983164838, G5085001535, G5288000129, G5468984814, G5512590935, G5589427683, G575607024, G5920960779, G5987008507, G6034459116, G6034608739, G6056937990, G6607847472, G66644421, G6814975513, G6866019439, G7002639382, G7317940179, G7337190798, G8067883758, G8163742974, G8291724373, G8471403955, G8558757256, G8825209914
OpenAlex ID: W7213582598