Quantum-Gravitational Foundations of Intelligence: A Unified Field Theory of Entropic Computation

preprint OA: closed CC-BY-4.0
📄 Open PDF Full text JSON View at publisher

Abstract

Abstract Intelligence is defined as a non-equilibrium thermodynamic process, characterized by the acquisition of free energy to minimize internal informational entropy (argmin_ψ). We formalize this process within a semi-classical field theory, deriving a profound and direct isomorphism between computational optimization and the geometric flow of spacetime entropy. By synthesizing non-equilibrium gravitational thermodynamics, Quantum Field Theory in Curved Spacetime (QFTCS), and Information Geometry, we establish that efficient cognition is a curvature-sensitive phenomenon governed by a unified physical speed limit. We present two primary theoretical results: (1) The entropic current J_S^μ is fundamentally proportional to the gradient of the Ricci scalar R (J_S^μ∝-∇_μ R), mandating that local entropy reduction (quantum ordering) is a curvature-driven geometric process. (2) The minimization of the Entropic Action (S_ent) in generalized gravity is mathematically equivalent to the minimum-dissipation trajectory required by stochastic thermodynamics, specifically the Natural Gradient Flow (NGF). This framework establishes the foundational geometric constraint (Equation 4) necessary for physically mandated optimal computation.
Full text 9,803 characters · extracted from preprint-html · click to expand
Quantum-Gravitational Foundations of Intelligence: A Unified Field Theory of Entropic Computation | 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-Gravitational Foundations of Intelligence: A Unified Field Theory of Entropic Computation Barco You This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8139436/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 Intelligence is defined as a non-equilibrium thermodynamic process, characterized by the acquisition of free energy to minimize internal informational entropy (argmin_ψ). We formalize this process within a semi-classical field theory, deriving a profound and direct isomorphism between computational optimization and the geometric flow of spacetime entropy. By synthesizing non-equilibrium gravitational thermodynamics, Quantum Field Theory in Curved Spacetime (QFTCS), and Information Geometry, we establish that efficient cognition is a curvature-sensitive phenomenon governed by a unified physical speed limit. We present two primary theoretical results: (1) The entropic current J_S^μ is fundamentally proportional to the gradient of the Ricci scalar R (J_S^μ∝-∇_μ R), mandating that local entropy reduction (quantum ordering) is a curvature-driven geometric process. (2) The minimization of the Entropic Action (S_ent) in generalized gravity is mathematically equivalent to the minimum-dissipation trajectory required by stochastic thermodynamics, specifically the Natural Gradient Flow (NGF). This framework establishes the foundational geometric constraint (Equation 4) necessary for physically mandated optimal computation. Physical sciences/Mathematics and computing/Computational science Physical sciences/Physics/Information theory and computation Physical sciences/Physics/Quantum physics/Quantum information Full Text Additional Declarations There is NO Competing Interest. 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-8139436","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":546577507,"identity":"6f3bae71-c312-4cd1-a0f0-d3f9cb2152fa","order_by":0,"name":"Barco You","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAzElEQVRIiWNgGAWjYBACAzDJI8HAD6ITCkjRItkA0mJAtBYQ4wAKFw8wZz/78MMHGQs54/OrEz88MGCQ5xc7gF+LZU+6seQMHgljsxtvN0sAHWY4c3YCAYcdSGNj5uGRSNx24+wGkJYEg9uEtJx/BtZSv3nG2c0/iNNyA2JLggF/7zbibLGc8YwZ5BfDGTd4t1kkGEgQ9os5fxrjh489dfL8/Wc33/xRYSPPL01ACxgw9gAJCbBKCSKUg8EPIOY/QKzqUTAKRsEoGGkAAKhjPnfuxVpPAAAAAElFTkSuQmCC","orcid":"https://orcid.org/0000-0002-3736-0136","institution":"University of Queensland","correspondingAuthor":true,"prefix":"","firstName":"Barco","middleName":"","lastName":"You","suffix":""}],"badges":[],"createdAt":"2025-11-17 23:45:33","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-8139436/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-8139436/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":96372457,"identity":"a60d2426-53b2-42ab-859a-c36314102055","added_by":"auto","created_at":"2025-11-20 10:27:51","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":634883,"visible":true,"origin":"","legend":"","description":"","filename":"IntelligenceFoundationNaturePhysics.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8139436/v1_covered_95c59f9c-7a43-4e18-806e-02d998b6c5cc.pdf"}],"financialInterests":"There is \u003cb\u003eNO\u003c/b\u003e Competing Interest.","formattedTitle":"Quantum-Gravitational Foundations of Intelligence: A Unified Field Theory of Entropic Computation","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"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":"","lastPublishedDoi":"10.21203/rs.3.rs-8139436/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8139436/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Intelligence is defined as a non-equilibrium thermodynamic process, characterized by the acquisition of free energy to minimize internal informational entropy (argmin_ψ). We formalize this process within a semi-classical field theory, deriving a profound and direct isomorphism between computational optimization and the geometric flow of spacetime entropy. By synthesizing non-equilibrium gravitational thermodynamics, Quantum Field Theory in Curved Spacetime (QFTCS), and Information Geometry, we establish that efficient cognition is a curvature-sensitive phenomenon governed by a unified physical speed limit. We present two primary theoretical results: (1) The entropic current J_S^μ is fundamentally proportional to the gradient of the Ricci scalar R (J_S^μ∝-∇_μ R), mandating that local entropy reduction (quantum ordering) is a curvature-driven geometric process. (2) The minimization of the Entropic Action (S_ent) in generalized gravity is mathematically equivalent to the minimum-dissipation trajectory required by stochastic thermodynamics, specifically the Natural Gradient Flow (NGF). This framework establishes the foundational geometric constraint (Equation 4) necessary for physically mandated optimal computation.","manuscriptTitle":"Quantum-Gravitational Foundations of Intelligence: A Unified Field Theory of Entropic Computation","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-11-19 04:24:27","doi":"10.21203/rs.3.rs-8139436/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","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}}],"origin":"","ownerIdentity":"896bae99-9bc4-4a66-b9f8-e98ba99f29b9","owner":[],"postedDate":"November 19th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":58146401,"name":"Physical sciences/Mathematics and computing/Computational science"},{"id":58146402,"name":"Physical sciences/Physics/Information theory and computation"},{"id":58146403,"name":"Physical sciences/Physics/Quantum physics/Quantum information"}],"tags":[],"updatedAt":"2025-11-20T12:36:35+00:00","versionOfRecord":[],"versionCreatedAt":"2025-11-19 04:24:27","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8139436","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8139436","identity":"rs-8139436","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: preprint-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00
unpaywall
last seen: 2026-05-26T02:00:01.498150+00:00
License: CC-BY-4.0