{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00220430","sets":["1164:10193:10905:11012"]},"path":["11012"],"owner":"44499","recid":"220430","title":["Full optimization of a single-qubit gate on the generalized sequential quantum optimizer"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-10-20"},"_buckets":{"deposit":"30f5a87f-6872-417a-8b4b-a28af77d4f25"},"_deposit":{"id":"220430","pid":{"type":"depid","value":"220430","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Full optimization of a single-qubit gate on the generalized sequential quantum optimizer","author_link":["576631","576632","576633","576628","576627","576630","576629","576634"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Full optimization of a single-qubit gate on the generalized sequential quantum optimizer"},{"subitem_title":"Full optimization of a single-qubit gate on the generalized sequential quantum optimizer","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2022-10-20","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Department of Applied Physics and Physico-Informatics, Keio University"},{"subitem_text_value":"IBM Quantum, IBM Japan／Quantum Computing Center, Keio University／Department of Computer Science, The University of Tokyo"},{"subitem_text_value":"Toyota Central R&D Labs., Inc.／Quantum Computing Center, Keio University"},{"subitem_text_value":"Quantum Computing Center, Keio University"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Department of Applied Physics and Physico-Informatics, Keio University","subitem_text_language":"en"},{"subitem_text_value":"IBM Quantum, IBM Japan / Quantum Computing Center, Keio University / Department of Computer Science, The University of Tokyo","subitem_text_language":"en"},{"subitem_text_value":"Toyota Central R&D Labs., Inc. / Quantum Computing Center, Keio University","subitem_text_language":"en"},{"subitem_text_value":"Quantum Computing Center, Keio University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/220430/files/IPSJ-QS22007026.pdf","label":"IPSJ-QS22007026.pdf"},"date":[{"dateType":"Available","dateValue":"2024-10-20"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-QS22007026.pdf","filesize":[{"value":"1.5 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"53"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"a319da15-9147-46c1-909d-d7de1c10bb2d","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2022 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Kaito, Wada"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Rudy, Raymond"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yuki, Sato"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hiroshi, C. Watanabe"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Kaito, Wada","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Rudy, Raymond","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yuki, Sato","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hiroshi, C. Watanabe","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12894105","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2435-6492","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"We propose a new quantum algorithm based on analytically-maximum optimization of a single-qubit gate in parameterized quantum circuits (PQCs). Variational quantum algorithms on near-term quantum devices depend on the ability to optimize objective functions with hardware-efficient PQCs. Standard optimizations utilize single-parameter quantum gates in PQCs whose rotation angles along fixed axes are parametrized. The parameters are then updated by gradient or by sequential quantum optimization. A conventional sequential optimizer utilizes sinusoidal properties to directly find local optima regarding a single-qubit gate. A recent method proposed sequential optimization of multi-parameter single-qubit gates in PQCs whose parameters are the rotation axes of quantum gates with fixed half-rotation angles. Here, unifying and extending the existing methods, we derive the maximum optimization of a single-qubit gate from the framework of matrix factorization. We perform numerical experiments demonstrating the efficacy of the framework.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"We propose a new quantum algorithm based on analytically-maximum optimization of a single-qubit gate in parameterized quantum circuits (PQCs). Variational quantum algorithms on near-term quantum devices depend on the ability to optimize objective functions with hardware-efficient PQCs. Standard optimizations utilize single-parameter quantum gates in PQCs whose rotation angles along fixed axes are parametrized. The parameters are then updated by gradient or by sequential quantum optimization. A conventional sequential optimizer utilizes sinusoidal properties to directly find local optima regarding a single-qubit gate. A recent method proposed sequential optimization of multi-parameter single-qubit gates in PQCs whose parameters are the rotation axes of quantum gates with fixed half-rotation angles. Here, unifying and extending the existing methods, we derive the maximum optimization of a single-qubit gate from the framework of matrix factorization. We perform numerical experiments demonstrating the efficacy of the framework.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"研究報告量子ソフトウェア（QS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2022-10-20","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"26","bibliographicVolumeNumber":"2022-QS-7"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":220430,"updated":"2025-01-19T14:34:28.219828+00:00","links":{},"created":"2025-01-19T01:20:28.461211+00:00"}