{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T21:13:01Z","timestamp":1792789981065,"version":"4.5.0"},"reference-count":77,"publisher":"MDPI AG","issue":"19","license":[{"start":{"date-parts":[[2026,10,3]],"date-time":"2026-10-03T00:00:00Z","timestamp":1790985600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Korea SMEs and Startups Agency","award":["G0900002616"],"award-info":[{"award-number":["G0900002616"]}],"id":[{"id":"https:\/\/ror.org\/03kvhnf06","id-type":"ROR","asserted-by":"crossref"}]},{"award":["G0900002616"],"award-info":[{"award-number":["G0900002616"]}],"id":[{"id":"https:\/\/ror.org\/03kvhnf06","id-type":"ROR","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Polymers"],"abstract":"<jats:p>Polymeric composites have become indispensable engineering materials owing to their exceptional mechanical performance, lightweight characteristics, corrosion resistance, and design flexibility. Conventional computational approaches, including density functional theory (DFT), molecular dynamics (MD), finite element analysis (FEA), and machine learning (ML), have substantially improved the understanding of polymer structure\u2013property relationships. However, the increasing complexity of multiscale polymeric systems, intricate fiber\u2013matrix interactions, and the computational cost associated with accurately modelling quantum-mechanical phenomena continue to present significant challenges for classical computing. This review provides a comprehensive assessment of the emerging role of quantum computing in polymeric composite research. It first introduces the fundamental principles of quantum computing, including qubits, quantum gates, quantum circuits, representative quantum algorithms, and contemporary hardware platforms. Subsequently, the review examines conventional computational methods used for modelling polymeric composites and discusses how quantum computing may complement and accelerate these established approaches. Recent and prospective applications in polymer electronic structure calculations, fiber\u2013matrix interface engineering, nanocomposite design, multiscale modelling, and intelligent materials discovery are critically evaluated. Particular emphasis is placed on hybrid quantum\u2013classical frameworks that integrate quantum computing with artificial intelligence, materials informatics, and high-throughput computational workflows as candidate tools for polymer design. The evidence is separated into polymer-specific hardware demonstrations, simulator-based studies, transferable non-polymer benchmarks, and prospective applications. Existing studies establish feasibility for selected tasks; they do not establish general end-to-end quantum advantage for realistic polymeric composites.<\/jats:p>","DOI":"10.3390\/polym18192418","type":"journal-article","created":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T08:57:18Z","timestamp":1791190638000},"page":"2418","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Quantum Computing for Polymeric Composites: Principles, Methods, Applications, and Future Perspectives"],"prefix":"10.3390","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9506-1505","authenticated-orcid":false,"given":"Min Ook","family":"Kim","sequence":"first","affiliation":[{"name":"Department of Civil Engineering, Seoul National University of Science and Technology, 232 Gongneung-ro, Nowon-gu, Seoul 01811, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,10,3]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Mallick, P.K. 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