{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00233685","sets":["1164:10193:11470:11538"]},"path":["11538"],"owner":"44499","recid":"233685","title":["量子オートエンコーダーを活用した画像分類"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-21"},"_buckets":{"deposit":"c10703b2-c077-4792-b7f2-d79434f52a16"},"_deposit":{"id":"233685","pid":{"type":"depid","value":"233685","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"量子オートエンコーダーを活用した画像分類","author_link":["635309","635308"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"量子オートエンコーダーを活用した画像分類"}]},"item_type_id":"4","publish_date":"2024-03-21","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"お茶の水女子大学"},{"subitem_text_value":"お茶の水女子大学／東北大学大学院"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Ochanomizu University","subitem_text_language":"en"},{"subitem_text_value":"Ochanomizu University / Tohoku University","subitem_text_language":"en"}]},"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/233685/files/IPSJ-QS24011011.pdf","label":"IPSJ-QS24011011.pdf"},"date":[{"dateType":"Available","dateValue":"2026-03-21"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-QS24011011.pdf","filesize":[{"value":"1.1 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":"8b04a467-ed16-4fa6-bdf9-af1a313108a5","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"朝岡, 日向子"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"工藤, 和恵"}],"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":"量子コンピュータを機械学習へ適用することによって，従来の手法を大幅に超える高速化が期待されている．近年は，画像分類タスクへのゲート型量子コンピュータ導入も提案されている．既存のアプローチとしては，量子畳み込みニューラルネットワークなど，学習の一部を量子回路で実行する量子-古典ハイブリッドのアルゴリズムの提案が多い．NISQ 時代の量子コンピュータには，そのようなアプローチが適していると考えられている．しかし，量子効果を機械学習へ存分に活かすために，学習過程の大部分を量子回路で担う提案にも重要性があると考える．例えば，量子オートエンコーダー（QAE）は回路に入力された画像情報を圧縮したのちに復元し，量子回路のみで効果的な特徴抽出ができることを示した．そこで本研究では QAE を画像分類タスクに応用する新たなアプローチを提案する．QAE は本来画像の情報復元を目的としているが，画像のラベル情報を復元するように回路を学習させることによって，判別モデルとして活用する．本論文では，提案手法の有効性の検証として，画像データの二値分類実験を行い，その結果を提示する．達成された精度とともに，提案手法の効果や今後の課題についても考察を深める．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"7","bibliographic_titles":[{"bibliographic_title":"研究報告量子ソフトウェア（QS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-21","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"11","bibliographicVolumeNumber":"2024-QS-11"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"updated":"2025-01-19T10:01:24.733525+00:00","created":"2025-01-19T01:35:12.493277+00:00","id":233685}