Multilingual Machine Translation with Quantum Encoder Decoder Attention-based Convolutional Variational Circuits

Multilingual Machine Translation with Quantum Encoder Decoder Attention-based Convolutional Variational Circuits | 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 Research Article Multilingual Machine Translation with Quantum Encoder Decoder Attention-based Convolutional Variational Circuits SUBRIT DIKSHIT, RITU TIWARI, PRIYANK JAIN This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6533630/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 Cloud-based multilingual translation services like Google Translate and Microsoft Translator achieve state-of-the-art translation capabilities. These services inherently use large multilingual language models such as GRU, LSTM, BERT, GPT, T5, or similar encoder-decoder architectures with attention mechanisms as the backbone. Also, new age natural language systems, for instance ChatGPT and DeepSeek, have established huge potential in multiple tasks in natural language processing. At the same time, they also possess outstanding multilingual translation capabilities. However, these models use the classical computing realm as a backend. QEDACVC (Quantum Encoder Decoder Attention-based Convolutional Variational Circuits) is an alternate solution that explores the quantum computing realm instead of the classical computing realm to study and demonstrate multilingual machine translation. QEDACVC introduces the quantum encoder-decoder architecture that simulates and runs on quantum computing hardware via quantum convolution, quantum pooling, quantum variational circuit, and quantum attention as software alterations. QEDACVC achieves an Accuracy of 82% when trained on the OPUS dataset for English, French, German, and Hindi corpora for multilingual translations. Quantum Computing Artificial Intelligence Natural Language Processing Multilingual Machine Translation QC AI NLP MMT Full Text Additional Declarations No competing interests reported. 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. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-6533630","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":474206694,"identity":"fd8f466a-ea3c-4756-bfe3-109de7279699","order_by":0,"name":"SUBRIT DIKSHIT","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAtklEQVRIiWNgGAWjYFACHgaGBAYbIIOx8QAJWhLSQFoaSNDCkHAYzCROi/yM3GMfHv44b7e2/TDQlhqbaIJaDG7kJc9ISLidvO1MIlDLsbTcBoJaJHKMGUBazA4AtTA2HCasRX4GWMu5ZLPzD4nUwnADrOWAndkNYm0xOPMumSEhLTnB7AbQlgRi/CLfnnuY8YeNnb3Z+fSHDz7U2BDhMChIBKtMIFY5CNiTongUjIJRMApGGAAA1XFGqtTwK2kAAAAASUVORK5CYII=","orcid":"","institution":"Indian Institute of Information Technology, Pune","correspondingAuthor":true,"prefix":"","firstName":"SUBRIT","middleName":"","lastName":"DIKSHIT","suffix":""},{"id":474206695,"identity":"93414eea-6bfd-4f80-98c7-153a19c4d3ee","order_by":1,"name":"RITU TIWARI","email":"","orcid":"","institution":"Indian Institute of Information Technology, Pune","correspondingAuthor":false,"prefix":"","firstName":"RITU","middleName":"","lastName":"TIWARI","suffix":""},{"id":474206696,"identity":"fad87a8c-ed3b-4b48-8b4e-a4c87df5a19a","order_by":2,"name":"PRIYANK JAIN","email":"","orcid":"","institution":"Indian Institute of Information Technology, Pune","correspondingAuthor":false,"prefix":"","firstName":"PRIYANK","middleName":"","lastName":"JAIN","suffix":""}],"badges":[],"createdAt":"2025-04-26 08:23:06","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6533630/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6533630/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":95523810,"identity":"f6c2c477-ed9b-4be5-b643-958bdcf59b90","added_by":"auto","created_at":"2025-11-10 10:00:58","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":825873,"visible":true,"origin":"","legend":"","description":"","filename":"MMTwithQEDACVCV1.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6533630/v1_covered_6e1a721c-7bd4-42b8-8045-b87faafa47f6.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Multilingual Machine Translation with Quantum Encoder Decoder Attention-based Convolutional Variational Circuits","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Quantum Computing, Artificial Intelligence, Natural Language Processing, Multilingual Machine Translation, QC, AI, NLP, MMT","lastPublishedDoi":"10.21203/rs.3.rs-6533630/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6533630/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eCloud-based multilingual translation services like Google Translate and Microsoft Translator achieve state-of-the-art translation capabilities. 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