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Lett."],"published-print":{"date-parts":[[2026,7,15]]},"abstract":"<jats:p>\n                    Microring resonators (MRRs) are key building blocks for conventional integrated microwave photonic signal-processing circuits due to their compact footprint and tailorable resonant response. However, when the operating frequency further extends into the terahertz regime, simultaneously achieving a high quality (Q) factor and a terahertz-scale FSR remains highly challenging, primarily because ultra-small bending radii generally introduce excessive optical loss. In this Letter, we report an ultra-compact silicon MRR based on a multimode-interference-assisted generalized Euler-circular (GEC) bend, which alleviates the long-standing Q\u2013FSR trade-off by enabling low-loss operation in ultra-compact microrings. Fabricated in a standard silicon photonics foundry, the device exhibits an intrinsic Q of 3\u00d710\n                    <jats:sup>6<\/jats:sup>\n                    and an FSR of 425\u2009GHz (0.4\u2009THz). To the best of our knowledge, this result represents the highest reported Q \u00d7 FSR product of 1275 for a compact silicon MRR. Moreover, with an optical resonance linewidth of around 150\u2009MHz, ultrawide consistent photonic filtering operation is validated up to 110\u2009GHz. These results provide a compact and high-performance platform for high-resolution signal processing in THz communication systems.\n                  <\/jats:p>","DOI":"10.1364\/ol.603822","type":"journal-article","created":{"date-parts":[[2026,6,22]],"date-time":"2026-06-22T14:00:06Z","timestamp":1782136806000},"page":"3894","update-policy":"https:\/\/doi.org\/10.1364\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Ultra-compact high-Q silicon microring resonator for terahertz microwave photonics"],"prefix":"10.1364","volume":"51","author":[{"given":"Wencan","family":"Li","sequence":"first","affiliation":[{"id":[{"id":"https:\/\/ror.org\/02v51f717","id-type":"ROR","asserted-by":"publisher"}]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-5851-750X","authenticated-orcid":true,"given":"Yunhao","family":"Zhang","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/02v51f717","id-type":"ROR","asserted-by":"publisher"}]},{"name":"Peng Cheng Laboratory"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haoyu","family":"Wang","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/02v51f717","id-type":"ROR","asserted-by":"publisher"}]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zihan","family":"Tao","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/02v51f717","id-type":"ROR","asserted-by":"publisher"}]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bitao","family":"Shen","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/02v51f717","id-type":"ROR","asserted-by":"publisher"}]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiahe","family":"Xu","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/02v51f717","id-type":"ROR","asserted-by":"publisher"}]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruixuan","family":"Chen","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/02v51f717","id-type":"ROR","asserted-by":"publisher"}]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luwen","family":"Xing","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/02v51f717","id-type":"ROR","asserted-by":"publisher"}]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yichen","family":"Wu","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/02v51f717","id-type":"ROR","asserted-by":"publisher"}]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Wang","sequence":"additional","affiliation":[{"name":"Peng Cheng Laboratory"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xingjun","family":"Wang","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/02v51f717","id-type":"ROR","asserted-by":"publisher"}]},{"name":"Peng Cheng Laboratory"},{"name":"Peking University Yangtze Delta Institute of Optoelectronics"},{"name":"Peking University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5429-8661","authenticated-orcid":true,"given":"Haowen","family":"Shu","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/02v51f717","id-type":"ROR","asserted-by":"publisher"}]},{"name":"Peng Cheng Laboratory"},{"name":"Peking University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"285","published-online":{"date-parts":[[2026,7,8]]},"reference":[{"key":"ol-51-14-3894-R1","doi-asserted-by":"publisher","first-page":"2326","DOI":"10.1109\/COMST.2024.3385908","type":"journal-article","volume":"26","author":"Jiang","year":"2024","journal-title":"IEEE Commun. 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All rights, including for text and data mining (TDM), Artificial Intelligence (AI) training, and similar technologies, are reserved.","name":"copyright","label":"Copyright"}]}}