{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T04:56:47Z","timestamp":1790657807720,"version":"4.1.0"},"reference-count":36,"publisher":"Wiley","license":[{"start":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T00:00:00Z","timestamp":1790553600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T00:00:00Z","timestamp":1790553600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52576083"],"award-info":[{"award-number":["52576083"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["advanced.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Advanced Science"],"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    Optical metamaterials exhibit superior optical performance, yet their high\u2010dimensional design problems impede efficient global optimization. In this study, we introduce Quantum\u2011driven Learning and Exploration for Advanced Photonic metamaterials (Q\u2010LEAP) that integrates material screening, property calculation and quantum\u2010accelerated structural design. By incorporating a factorization machine (FM) algorithm and leveraging the quantum tunnelling effect of quantum annealing, we efficiently explore a vast solution space of containing 2\n                    <jats:sup>108<\/jats:sup>\n                    candidates, with a single optimization step completed in 2.56\u00a0ms, attaining an objective value that reaches 85.83% of its theoretical limit. To jointly evaluate runtime cost, sampling efficiency, and optimization effectiveness, we define normalized efficiency index on a natural\u2011log basis. Q\u2011LEAP reaches 21.77\u00a0\u00d7\u00a010\n                    <jats:sup>\u22122<\/jats:sup>\n                    , approximately 40 times that of the best conventional method (0.55\u00a0\u00d7\u00a010\n                    <jats:sup>\u22122<\/jats:sup>\n                    ). Furthermore, we combine first\u2011principles calculations with a physics\u2011informed residual machine learning (PRML) method to predict frequency\u2011dependent dielectric functions. While density functional perturbation theory spectra are truncated at the phonon cutoff frequency, PRML overcomes this by using the Lorentz oscillator model as physical guidance, ensuring the high\u2011frequency extrapolation obeys the underlying oscillator dynamics. The Q\u2010LEAP constitutes an efficient design strategy for de novo optical metamaterials, with quantum\u2011driven optimization delivering a substantial speedup. This speedup can be transferred to high\u2011dimensional problems in other domains.\n                  <\/jats:p>","DOI":"10.1002\/advs.78032","type":"journal-article","created":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T04:20:54Z","timestamp":1790655654000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Q\u2010LEAP: Millisecond Hyperdimensional Optimization for Full\u2010Spectrum Optical Metamaterials"],"prefix":"10.1002","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-4760-1120","authenticated-orcid":false,"given":"Zikang","family":"Guo","sequence":"first","affiliation":[{"name":"Department of Materials Science and Engineering Shanghai Jiao Tong University  Shanghai China"},{"name":"China\u2010UK Low Carbon College Shanghai Jiao Tong University  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5404-607X","authenticated-orcid":false,"given":"Yunwen","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Materials Science and Engineering Shanghai Jiao Tong University  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuhui","family":"Guo","sequence":"additional","affiliation":[{"name":"China\u2010UK Low Carbon College Shanghai Jiao Tong University  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7863-6947","authenticated-orcid":false,"given":"Shenghong","family":"Ju","sequence":"additional","affiliation":[{"name":"China\u2010UK Low Carbon College Shanghai Jiao Tong University  Shanghai China"},{"name":"Department of Engineering Mechanics Key Laboratory for Thermal Science and Power Engineering of Ministry of Education Tsinghua University  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,9,28]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.1232009"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.1096796"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.1126493"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/SURV.2011.122111.00069"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.1364\/PRJ.562457"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.1038\/ncomms2176"},{"key":"e_1_2_9_8_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41467\u2010025\u201056122\u20103"},{"key":"e_1_2_9_9_1","doi-asserted-by":"publisher","DOI":"10.29026\/oea.2021.200092"},{"key":"e_1_2_9_10_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.adg6881"},{"key":"e_1_2_9_11_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41467\u2010025\u201057689\u20107"},{"key":"e_1_2_9_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2022.109051"},{"key":"e_1_2_9_13_1","doi-asserted-by":"publisher","DOI":"10.1002\/adma.202519941"},{"key":"e_1_2_9_14_1","doi-asserted-by":"publisher","DOI":"10.1002\/advs.202415935"},{"key":"e_1_2_9_15_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41586\u2010025\u201009102\u2010y"},{"key":"e_1_2_9_16_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41467\u2010025\u201057516\u2010z"},{"key":"e_1_2_9_17_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41467\u2010026\u201075411\u2010z"},{"key":"e_1_2_9_18_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41377\u2010025\u201001944\u20105"},{"key":"e_1_2_9_19_1","doi-asserted-by":"publisher","DOI":"10.1515\/nanoph\u20102023\u20100852"},{"key":"e_1_2_9_20_1","doi-asserted-by":"publisher","DOI":"10.1038\/nature07128"},{"key":"e_1_2_9_21_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41578\u2010021\u201000292\u20101"},{"key":"e_1_2_9_22_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41586\u2010022\u201004603\u20106"},{"key":"e_1_2_9_23_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41586\u2010024\u201008406\u20109"},{"key":"e_1_2_9_24_1","volume-title":"Design Automation for Quantum Computing. 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