{"paper_id":"0f1e593b-06d3-4afd-be22-da5b21e60fc4","body_text":"Quantum-Enhanced Edge-Cloud Framework for Scalable Medical and Industrial IoT Systems | 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 Quantum-Enhanced Edge-Cloud Framework for Scalable Medical and Industrial IoT Systems S Ramasamy, G G Sreeja, N Padmashri, Chairman M This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9026875/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 16 You are reading this latest preprint version Abstract The amount and difficulty of data have both grown a lot since the number of Internet of Things (IoT) devices in the medical and industrial sectors has grown a lot. These situations with a lot of data have needs that go beyond what most cloud and edge computing frameworks can do when it comes to processing in real time, energy efficiency, and security. The inclusion of quantum computing, which can handle a lot of processing at once and execute more sophisticated tasks at once, could transform the way things are done in a big manner. When it comes to handling sensitive and different IoT, the current Edge-Cloud designs have a few big problems: they don't scale effectively, they have a lot of latency, and they do not have enough capacity. In order for predictive maintenance and automation to perform well in industrial Internet of Things (IIoT) contexts, they need to be able to address problems and act promptly. On the other hand, late diagnoses and data breaches are very dangerous for medical settings. All of these key factors; the computing burden, the reaction speed, and the security are handled by one unified design. The Quantum-Enhanced Edge-Cloud Computing Framework (QEECF) is proposed to speed up essential operations including encryption, finding anomalies, and making decisions in real time. With this technology, the quantum processing units (QPUs) are added to both the cloud servers and the edge nodes at the same time. The framework uses a hybrid quantum-classical scheduling strategy that combines quantum annealing with variational circuits to give the best possible job offloading. The objective of a federated quantum learning system is to keep sensitive data safe. This data is stored in databases all around the world, like those used in business and healthcare. We evaluate the technology by running simulations of things like smart manufacturing and keeping an eye on healthcare. These simulations are easier using IBM Qiskit and edge simulators. When compared to standard Edge-Cloud arrangements, QEECF might increase data throughput by 36%, cut job delays by 43%, and improve the accuracy of finding anomalies by 48%. Physical sciences/Engineering Physical sciences/Mathematics and computing Quantum Edge Computing Medical IoT Industrial IoT Federated Learning Quantum Offloading Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 27 Mar, 2026 Reviews received at journal 27 Mar, 2026 Reviews received at journal 26 Mar, 2026 Reviewers agreed at journal 26 Mar, 2026 Reviewers agreed at journal 25 Mar, 2026 Reviews received at journal 25 Mar, 2026 Reviewers agreed at journal 25 Mar, 2026 Reviewers agreed at journal 25 Mar, 2026 Reviewers agreed at journal 25 Mar, 2026 Reviewers agreed at journal 25 Mar, 2026 Reviewers agreed at journal 25 Mar, 2026 Reviewers invited by journal 25 Mar, 2026 Editor assigned by journal 25 Mar, 2026 Editor invited by journal 23 Mar, 2026 Submission checks completed at journal 20 Mar, 2026 First submitted to journal 20 Mar, 2026 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. 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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-9026875\",\"acceptedTermsAndConditions\":true,\"allowDirectSubmit\":false,\"archivedVersions\":[],\"articleType\":\"Article\",\"associatedPublications\":[],\"authors\":[{\"id\":612499555,\"identity\":\"dcc537c4-bcb0-4645-a3bf-071d89722e13\",\"order_by\":0,\"name\":\"S Ramasamy\",\"email\":\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA90lEQVRIiWNgGAWjYJADxsc/KoAUM3MD0VqYjRnOgChG4rWwSTO2gW3Dr8W8/XTixx812xL7+w8fNi6cVxvN3w7U8qNiG04tMmdyN0vzHLudOONGWuLjmduO5844zNjA2HPmNk4tEgy5G6QZ2G4nbpDgMTbg3XYstwGohZmxDY8W/rebf/74B9TCf/6bBO+cY7nzCWqRyN0mwdsG1MKQwybN21CTu4GwlrfbrHn7bhsD/WJsOOPYgdyNQC0H8fqFP3fzzR/fbssCQ+zhgw81dbnzzh8++OBHBW4tMODYAKEPg8kDBNUDgT2UriNG8SgYBaNgFIwwAADH7mIqXBN3+wAAAABJRU5ErkJggg==\",\"orcid\":\"\",\"institution\":\"Hindusthan Institute of Technology\",\"correspondingAuthor\":true,\"prefix\":\"\",\"firstName\":\"S\",\"middleName\":\"\",\"lastName\":\"Ramasamy\",\"suffix\":\"\"},{\"id\":612499556,\"identity\":\"8446f4f2-7b2a-478d-ae0c-80b5d7f8a7b9\",\"order_by\":1,\"name\":\"G G Sreeja\",\"email\":\"\",\"orcid\":\"\",\"institution\":\"Sri Eshwar College of Engineering\",\"correspondingAuthor\":false,\"prefix\":\"\",\"firstName\":\"G\",\"middleName\":\"G\",\"lastName\":\"Sreeja\",\"suffix\":\"\"},{\"id\":612499557,\"identity\":\"35aaa301-e25d-4a60-9ca0-65a98ff85f78\",\"order_by\":2,\"name\":\"N Padmashri\",\"email\":\"\",\"orcid\":\"\",\"institution\":\"SNS College of Engineering\",\"correspondingAuthor\":false,\"prefix\":\"\",\"firstName\":\"N\",\"middleName\":\"\",\"lastName\":\"Padmashri\",\"suffix\":\"\"},{\"id\":612499558,\"identity\":\"c89b0c64-ecaa-445b-bce0-75b0b97d8aff\",\"order_by\":3,\"name\":\"Chairman M\",\"email\":\"\",\"orcid\":\"\",\"institution\":\"Dr.Mahalingam College of Engineering and Technology\",\"correspondingAuthor\":false,\"prefix\":\"\",\"firstName\":\"Chairman\",\"middleName\":\"\",\"lastName\":\"M\",\"suffix\":\"\"}],\"badges\":[],\"createdAt\":\"2026-03-04 07:09:25\",\"currentVersionCode\":1,\"declarations\":\"\",\"doi\":\"10.21203/rs.3.rs-9026875/v1\",\"doiUrl\":\"https://doi.org/10.21203/rs.3.rs-9026875/v1\",\"draftVersion\":[],\"editorialEvents\":[],\"editorialNote\":\"\",\"failedWorkflow\":false,\"files\":[{\"id\":105588653,\"identity\":\"3266169b-8817-4bf1-be48-02453a4a51bf\",\"added_by\":\"auto\",\"created_at\":\"2026-03-27 16:00:11\",\"extension\":\"pdf\",\"order_by\":1,\"title\":\"\",\"display\":\"\",\"copyAsset\":false,\"role\":\"manuscript-pdf\",\"size\":798555,\"visible\":true,\"origin\":\"\",\"legend\":\"\",\"description\":\"\",\"filename\":\"RevisedQuantumEdgeManuscript.pdf\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-9026875/v1_covered_bb0c8d7b-07ff-49ab-9654-58df0ca70db1.pdf\"}],\"financialInterests\":\"No competing interests reported.\",\"formattedTitle\":\"Quantum-Enhanced Edge-Cloud Framework for Scalable Medical and Industrial IoT Systems\",\"fulltext\":[],\"fulltextSource\":\"\",\"fullText\":\"\",\"funders\":[],\"hasAdminPriorityOnWorkflow\":false,\"hasManuscriptDocX\":false,\"hasOptedInToPreprint\":true,\"hasPassedJournalQc\":\"\",\"hasAnyPriority\":false,\"hideJournal\":false,\"highlight\":\"\",\"institution\":\"\",\"isAcceptedByJournal\":false,\"isAuthorSuppliedPdf\":true,\"isDeskRejected\":\"\",\"isHiddenFromSearch\":false,\"isInQc\":false,\"isInWorkflow\":false,\"isPdf\":true,\"isPdfUpToDate\":true,\"isWithdrawnOrRetracted\":false,\"journal\":{\"display\":true,\"email\":\"info@researchsquare.com\",\"identity\":\"scientific-reports\",\"isNatureJournal\":false,\"hasQc\":true,\"allowDirectSubmit\":false,\"externalIdentity\":\"scirep\",\"sideBox\":\"Learn more about [Scientific Reports](http://www.nature.com/srep/)\",\"snPcode\":\"\",\"submissionUrl\":\"\",\"title\":\"Scientific Reports\",\"twitterHandle\":\"\",\"acdcEnabled\":true,\"dfaEnabled\":true,\"editorialSystem\":\"stoa\",\"reportingPortfolio\":\"Scientific Reports\",\"inReviewEnabled\":true,\"inReviewRevisionsEnabled\":true},\"keywords\":\"Quantum Edge Computing, Medical IoT, Industrial IoT, Federated Learning, Quantum Offloading\",\"lastPublishedDoi\":\"10.21203/rs.3.rs-9026875/v1\",\"lastPublishedDoiUrl\":\"https://doi.org/10.21203/rs.3.rs-9026875/v1\",\"license\":{\"name\":\"CC BY 4.0\",\"url\":\"https://creativecommons.org/licenses/by/4.0/\"},\"manuscriptAbstract\":\"\\u003cp\\u003eThe amount and difficulty of data have both grown a lot since the number of Internet of Things (IoT) devices in the medical and industrial sectors has grown a lot. 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