{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00220428","sets":["1164:10193:10905:11012"]},"path":["11012"],"owner":"44499","recid":"220428","title":["Quantum-enhanced mean value estimation via adaptive measurement"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-10-20"},"_buckets":{"deposit":"3cbc210c-f9e8-43d0-91f9-bb78ddf26413"},"_deposit":{"id":"220428","pid":{"type":"depid","value":"220428","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Quantum-enhanced mean value estimation via adaptive measurement","author_link":["576624","576625","576621","576622","576623","576620"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Quantum-enhanced mean value estimation via adaptive measurement"},{"subitem_title":"Quantum-enhanced mean value estimation via adaptive measurement","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":"Department of Applied Physics and Physico-Informatics, Keio University"},{"subitem_text_value":"Department of Applied Physics and Physico-Informatics, Keio University／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":"Department of Applied Physics and Physico-Informatics, Keio University","subitem_text_language":"en"},{"subitem_text_value":"Department of Applied Physics and Physico-Informatics, Keio University / 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/220428/files/IPSJ-QS22007024.pdf","label":"IPSJ-QS22007024.pdf"},"date":[{"dateType":"Available","dateValue":"2024-10-20"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-QS22007024.pdf","filesize":[{"value":"1.4 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":"8c274823-fb86-4801-93a5-ddb3831fcf61","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":"Kazuma, Fukuchi"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Naoki, Yamamoto"}],"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":"Kazuma, Fukuchi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Naoki, Yamamoto","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":"Estimating the mean values of quantum observables is a fundamental task in quantum computing. In particular, efficient estimation in a noisy environment requires us to develop a sophisticated measurement strategy. Here, we propose a quantum-enhanced estimation method for the mean values, that adaptively optimizes the measurement (POVM) for each circuit; as a result of optimization, the estimation precision gets close to the quantum Cramer-Rao lower bound, that is, inverse of the quantum Fisher information. We provide a rigorous analysis for the statistical properties of the proposed adaptive estimation method such as consistency and asymptotic normality. Furthermore, several numerical simulations with large system dimension are provided to show that the estimator needs only a reasonable number of measurements to almost saturate the quantum Cramer-Rao bound.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Estimating the mean values of quantum observables is a fundamental task in quantum computing. In particular, efficient estimation in a noisy environment requires us to develop a sophisticated measurement strategy. Here, we propose a quantum-enhanced estimation method for the mean values, that adaptively optimizes the measurement (POVM) for each circuit; as a result of optimization, the estimation precision gets close to the quantum Cramer-Rao lower bound, that is, inverse of the quantum Fisher information. We provide a rigorous analysis for the statistical properties of the proposed adaptive estimation method such as consistency and asymptotic normality. Furthermore, several numerical simulations with large system dimension are provided to show that the estimator needs only a reasonable number of measurements to almost saturate the quantum Cramer-Rao bound.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"10","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":"24","bibliographicVolumeNumber":"2022-QS-7"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":220428,"updated":"2025-01-19T14:34:30.956446+00:00","links":{},"created":"2025-01-19T01:20:28.346069+00:00"}