Orbital angular momentum processing via diffractive networks for terahertz mode-division-multiplexed wireless links

Orbital angular momentum processing via diffractive networks for terahertz mode-division-multiplexed wireless links | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Orbital angular momentum processing via diffractive networks for terahertz mode-division-multiplexed wireless links Ming-Yao Xia, Ming-Zhe Chong, Shao-Xin Huang, Zong-Kun Zhang, and 6 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7986423/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract The orbital angular momentum (OAM) mode processing method is crucial and highly desirable in terahertz (THz) mode-division-multiplexed (MDM) wireless links, to fulfill the requirement of flexible channel switching ability in the sixth-generation (6G) communications. However, most existing OAM manipulation methods cannot process multiplexed OAM modes with high flexibility in the THz band. To address this challenge, here we present a scheme for designing OAM processors for THz MDM wireless links, including OAM transformers and filters, based on diffractive optical neural networks (DONNs). The phase parameters of the DONNs are well optimized using artificial-intelligence-based algorithms to arbitrarily design OAM transformation and filtering functions in a desired manner. We fabricate the OAM processors and validate their functions through THz field scanning and wireless communication experiments, indicating excellent OAM processing performance with a high communication speed of 60 Gbps per channel. This design of the OAM processors exhibits excellent channel switching capabilities, making it suitablefor deployment in THz MDM wireless links, and potentially offering applications in 6G wireless communication systems. Physical sciences/Optics and photonics/Optical physics/Terahertz optics Physical sciences/Physics/Electronics, photonics and device physics/Photonic devices orbital angular momentum diffractive optical neural networks terahertz wireless communication mode-division multiplexing Full Text Additional Declarations There is no conflict of interest Supplementary Files SupplementaryInformationv1.2.docx Supplementary Information Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7986423","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":540684820,"identity":"4359e0aa-a9ce-457b-9bd1-9ce9a4905177","order_by":0,"name":"Ming-Yao 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