Abstract Deep diffractive neural networks have emerged as an all-optical computing paradigm that overcomes the bottlenecks of traditional electronic computing. However, traditional deep diffractive neural networks are typically limited to single-task processing. Here we demonstrate an orbital angular momentum multiplexing diffractive neural network (OAM-MDNN) that completes several recognition tasks simultaneously by exploiting orthogonal OAM modes to encode and decode information. We develop an end-to-end auto-optimizing strategy that improves mode utilization efficiency by approximately 14 times and the peak signal-to-noise ratio by approximately 14.4% compared with manual encoding. We experimentally demonstrate a 10-mode multiplexing recognition task for 40 object categories, including handwritten digits, letters and fashion items, with an average recognition accuracy of 86.8%. Further experiments validate the scalability and performance of the network for up to 100 object categories. Theoretically, we also show that OAM-MDNN can be scaled to up to 40 modes times 10 classes (400 classifications), showing potential for further extension. In addition, our OAM-MDNN supports simultaneous multitask input, enabling parallel recognition with high accuracy and minimal intermode crosstalk. We applied our architecture to real-world tasks, such as gesture recognition in numerical simulations, which demonstrated its practical application potential in biometric identification. OAM-MDNN paves the way for high-capacity and multi-dimensional parallel optical information processing based on OAM multiplexing. This is a preview of subscription content, access via your institution Access options Access Nature and 54 other Nature Portfolio journals Get Nature+, our best-value online-access subscription $32.99 / 30 days cancel any time Subscribe to this journal Receive 12 print issues and online access $259.00 per year only $21.58 per issue Buy this article - Purchase on SpringerLink - Instant access to the full article PDF. USD 39.95 Prices may be subject to local taxes which are calculated during checkout Similar content being viewed by others Data availability All
Orbital angular momentum multiplexing diffractive neural networks for high-capacity optical inference
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