Reservoir computing using spin-VCSELs - the influence of timescales and data injection schemes

Reservoir computing using spin-VCSELs - the influence of timescales and data injection schemes | 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 Reservoir computing using spin-VCSELs - the influence of timescales and data injection schemes Kathy Lüdge, Lina Jaurigue, Jonnel Jaurigue, Lukas Mühlnickel This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4341172/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 14 Nov, 2024 Read the published version in Communications Physics → Version 1 posted You are reading this latest preprint version Abstract Reservoir computing implemented in photonic systems promises fast and energy efficient computations. Due to their particularly fast spin-flip dynamics, vertically emitting semiconductor lasers with two spin polarized charge carrier populations (spin-VCSEL), are good candidates for high-speed reservoir computing. However, spin-VCSELs are complex dynamical systems, and in order to properly utilise their dynamics for computation, a thorough understanding of the interplay of dynamical variables and external control parameters is needed. With our work, we numerically show the crucial impact of dynamic coupling and decay timescales on the prediction performance of a spin-VSCEL reservoir computer. We present numerical evidence of the critical impact of different data injection schemes and internal timescales. Injection schemes based on the phase of the injected light and on generating spin polarized charge-carriers are compared as a function of the spin carrier lifetimes. A central finding is that the internal relaxation dynamics of the charge carriers is only beneficial for the performance with encoding via the spin polarized current. If the data is encoded via an optical phase difference, these carrier dynamics, and with it the additional memory, cannot be utilised. We find strong correlations with the underlying delay induced bifurcation structure, which allows to transfer the results also to other physical reservoir computing systems. Physical sciences/Physics/Statistical physics, thermodynamics and nonlinear dynamics/Complex networks Physical sciences/Mathematics and computing/Computer science Physical sciences/Mathematics and computing/Applied mathematics Full Text Additional Declarations There is NO Competing Interest. Supplementary Files MUE24suppl.pdf Cite Share Download PDF Status: Published Journal Publication published 14 Nov, 2024 Read the published version in Communications Physics → 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-4341172","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":297205314,"identity":"da775ee6-3098-414d-8110-bdcfa27fe30c","order_by":0,"name":"Kathy Lüdge","email":"data:image/png;base64,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","orcid":"https://orcid.org/0000-0002-4831-8910","institution":"Technische Universität Ilmenau","correspondingAuthor":true,"prefix":"","firstName":"Kathy","middleName":"","lastName":"Lüdge","suffix":""},{"id":297205316,"identity":"cc664583-879d-4c14-996c-fcfc1c64e9ab","order_by":1,"name":"Lina Jaurigue","email":"","orcid":"https://orcid.org/0000-0002-5104-7111","institution":"Technische Universität Ilmenau","correspondingAuthor":false,"prefix":"","firstName":"Lina","middleName":"","lastName":"Jaurigue","suffix":""},{"id":297205317,"identity":"99a5e758-41ef-4eed-b459-27760db63b84","order_by":2,"name":"Jonnel Jaurigue","email":"","orcid":"","institution":"Technische Universität Ilmenau","correspondingAuthor":false,"prefix":"","firstName":"Jonnel","middleName":"","lastName":"Jaurigue","suffix":""},{"id":297205318,"identity":"c738451f-47ac-408c-a8d5-412c5c7450e0","order_by":3,"name":"Lukas Mühlnickel","email":"","orcid":"","institution":"Technische Universität Ilmenau","correspondingAuthor":false,"prefix":"","firstName":"Lukas","middleName":"","lastName":"Mühlnickel","suffix":""}],"badges":[],"createdAt":"2024-04-29 08:00:31","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4341172/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4341172/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1038/s42005-024-01858-5","type":"published","date":"2024-11-14T05:00:00+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":69062719,"identity":"58142d76-9f6c-43c5-afc4-a8a62ba4dbf0","added_by":"auto","created_at":"2024-11-15 08:07:03","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1420748,"visible":true,"origin":"","legend":"","description":"","filename":"MUE24.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4341172/v1_covered_12a3bb74-d856-45de-851d-7fcb01230808.pdf"},{"id":55776117,"identity":"df0e3861-eaed-49aa-aeff-33edbc2f44e5","added_by":"auto","created_at":"2024-05-03 01:33:26","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":889822,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cbr\u003e\u003c/p\u003e","description":"","filename":"MUE24suppl.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4341172/v1/ccd8ab62ed8ddc7808d6b327.pdf"}],"financialInterests":"There is \u003cb\u003eNO\u003c/b\u003e Competing Interest.","formattedTitle":"Reservoir computing using spin-VCSELs - the influence of timescales and data injection schemes","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"nature-portfolio","isNatureJournal":true,"hasQc":false,"allowDirectSubmit":false,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"","title":"Nature Portfolio","twitterHandle":"","acdcEnabled":false,"dfaEnabled":false,"editorialSystem":"ejp","reportingPortfolio":"","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"","lastPublishedDoi":"10.21203/rs.3.rs-4341172/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4341172/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Reservoir computing implemented in photonic systems promises fast and energy efficient computations. 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