{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00217193","sets":["1164:2036:10820:10893"]},"path":["10893"],"owner":"44499","recid":"217193","title":["ニューラルネットワークを用いた量子誤り訂正手法の改良の検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-03-03"},"_buckets":{"deposit":"257938f4-8848-4440-9960-090383aa366b"},"_deposit":{"id":"217193","pid":{"type":"depid","value":"217193","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"ニューラルネットワークを用いた量子誤り訂正手法の改良の検討","author_link":["562247","562248","562246"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ニューラルネットワークを用いた量子誤り訂正手法の改良の検討"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"アプリケーション","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2022-03-03","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"慶應義塾大学理工学部"},{"subitem_text_value":"慶應義塾大学理工学部／東京大学大学院情報理工学系研究科"},{"subitem_text_value":"慶應義塾大学理工学部／理化学研究所計算科学研究センター"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/217193/files/IPSJ-SLDM22198039.pdf","label":"IPSJ-SLDM22198039.pdf"},"date":[{"dateType":"Available","dateValue":"2024-03-03"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-SLDM22198039.pdf","filesize":[{"value":"1.2 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":"10"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"f8af85d5-1da2-4906-b451-b31b07e7cd97","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":"小畠, 晟裕"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"上野, 洋典"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"近藤, 正章"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11451459","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":"2188-8639","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"量子計算機の誤り訂正符号として表面符号（Surface Code）が知られており，その復号プロセスは近似によりグラフの最小重み完全マッチング（MWPM: Minimum Weight Perfect Matching）問題に帰着されることが一般的である．しかし，MWPM による復号では量子計算機に生じるエラー同士の相関を考慮することができず，その復号性能は最適なものと乖離がある．そこで近年，ニューラルネットワークを用いてエラーの相関を考慮しつつを復号を行う手法がいくつか提案されている．本稿では，ニューラルネットワークを補助的に用いる復号についての先行研究を拡張し，観測エラーがある場合の表面符号を復号する手法を提案する．シミュレーションにより提案手法の復号性能を評価したところ，従来のニューラルネットワークベースの手法に比べて，精度が高く復号ができることが確認できた．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"研究報告システムとLSIの設計技術（SLDM）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2022-03-03","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"39","bibliographicVolumeNumber":"2022-SLDM-198"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":217193,"updated":"2025-01-19T15:35:18.962769+00:00","links":{},"created":"2025-01-19T01:17:41.858783+00:00"}