{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,6]],"date-time":"2026-07-06T15:02:01Z","timestamp":1783350121136,"version":"3.54.6"},"reference-count":28,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61671082"],"award-info":[{"award-number":["61671082"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61672110"],"award-info":[{"award-number":["61672110"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61972048"],"award-info":[{"award-number":["61972048"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61976024"],"award-info":[{"award-number":["61976024"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/tkde.2019.2937491","type":"journal-article","created":{"date-parts":[[2019,8,27]],"date-time":"2019-08-27T00:00:27Z","timestamp":1566864027000},"page":"1-1","source":"Crossref","is-referenced-by-count":65,"title":["An improved quantum algorithm for ridge regression"],"prefix":"10.1109","author":[{"given":"Chao-Hua","family":"Yu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fei","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiaoyan","family":"Wen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.2307\/1267351"},{"key":"ref11","article-title":"Lecture notes on ridge regression","author":"van wieringen","year":"2015","journal-title":"arXiv 1509 09169"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.103.150502"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.109.050505"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.tcs.2016.05.044"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevA.94.022342"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevA.96.012335"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1038\/nphys3272"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.100.160501"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.87.167902"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2439252"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevA.97.062322"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s00220-006-0150-x"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevA.94.042311"},{"key":"ref6","author":"wittek","year":"2014","journal-title":"Quantum Machine Learning - What Quantum Computing Means to Data Mining"},{"key":"ref5","author":"murphy","year":"2012","journal-title":"Machine Learning A Probabilistic Perspective"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1038\/nature23474"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1080\/00107514.2014.964942"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/npjqi.2015.23"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevA.96.032301"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511976667"},{"key":"ref20","article-title":"Quantum algorithms for supervised and unsupervised machine learning","author":"lloyd","year":"2013","journal-title":"arXiv 1307 0411v2"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevA.97.012327"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1201\/9781420010572"},{"key":"ref24","author":"brassard","year":"2002","journal-title":"Quantum Amplitude Aplification and Estimation"},{"key":"ref23","article-title":"Creating superpositions that correspond to efficiently integrable probability distributions","author":"grover","year":"2002"},{"key":"ref26","author":"franklin","year":"1993","journal-title":"Matrix Theory"},{"key":"ref25","article-title":"Fast relative-error approximation algorithm for ridge regression","author":"chen","year":"2015","journal-title":"Proc 31th Conf Uncertainty Artif Intell"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/4358933\/08812924.pdf?arnumber=8812924","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:04:40Z","timestamp":1642003480000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8812924\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/tkde.2019.2937491","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}