{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00216414","sets":["1:10446:10672"]},"path":["10672"],"owner":"44499","recid":"216414","title":["5分で分かる!? 有名論文ナナメ読み：C-C. Chen, M. Watabe, K. Shiba, M. Sogabe, K. Sakamoto and T. Sogabe : On The Expressibility and Overfitting of Quantum Circuit Learning"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-02-15"},"_buckets":{"deposit":"13f803ee-a8f2-4cd2-abef-f85132af4c55"},"_deposit":{"id":"216414","pid":{"type":"depid","value":"216414","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"5分で分かる!? 有名論文ナナメ読み：C-C. Chen, M. Watabe, K. Shiba, M. Sogabe, K. Sakamoto and T. Sogabe : On The Expressibility and Overfitting of Quantum Circuit Learning","author_link":["558749"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"5分で分かる!? 有名論文ナナメ読み：C-C. Chen, M. Watabe, K. Shiba, M. Sogabe, K. Sakamoto and T. Sogabe : On The Expressibility and Overfitting of Quantum Circuit Learning"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"連載","subitem_subject_scheme":"Other"}]},"item_type_id":"30","publish_date":"2022-02-15","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_30_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"電気通信大学"}]},"publish_status":"0","weko_shared_id":44499,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/216414/files/IPSJ-MGN630311.pdf","label":"IPSJ-MGN630311.pdf"},"date":[{"dateType":"Available","dateValue":"2024-02-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MGN630311.pdf","filesize":[{"value":"1.1 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"e5da7814-4565-4f45-aa7c-d9b2d50c2fc7","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2022 by the Information Processing Society of Japan"}]},"item_30_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"曽我部, 東馬"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"article"}]},"item_30_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00116625","subitem_source_identifier_type":"NCID"}]},"item_30_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年，量子コンピュータを用いた量子機械学習が大変注目されている．量子機械学習は原理的に機械学習の一種なので，古典の機械学習と同様に過学習と呼ばれる潜在的な危険性がある．過学習を扱う代表的な理論に1970年代に開発されたVC次元理論があるが，量子機械学習はまだ黎明期の研究分野なので，VC次元理論を適用した量子機械学習の過学習に関する研究はほぼなかった．本論文はControl Z-gate Hardware Efficient Ansatz（CZ-HEA）という特定の量子回路機械学習モデルにおいて，テンソルネットワーク理論のライトコーン制限を導入した結果，量子VC次元が有限の上界と下界を持つことを理論的に証明し，学習理論から量子回路学習モデルの過学習特性を世界で初めて評価した．","subitem_description_type":"Other"}]},"item_30_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"148","bibliographic_titles":[{"bibliographic_title":"情報処理"}],"bibliographicPageStart":"146","bibliographicIssueDates":{"bibliographicIssueDate":"2022-02-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"3","bibliographicVolumeNumber":"63"}]},"relation_version_is_last":true,"item_30_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.20729/00216306","subitem_identifier_reg_type":"JaLC"}]},"weko_creator_id":"44499"},"created":"2025-01-19T01:17:03.228030+00:00","updated":"2025-01-19T15:50:35.424711+00:00","id":216414}