{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00207311","sets":["1164:10193:10194:10380"]},"path":["10380"],"owner":"44499","recid":"207311","title":["イジングモデルによる有向グラフに対する誘導部分グラフ同型問題の解法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2020-10-09"},"_buckets":{"deposit":"79b60535-1222-4e7a-85ae-e16be19f4b86"},"_deposit":{"id":"207311","pid":{"type":"depid","value":"207311","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"イジングモデルによる有向グラフに対する誘導部分グラフ同型問題の解法","author_link":["517206","517200","517201","517205","517202","517203","517204"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"イジングモデルによる有向グラフに対する誘導部分グラフ同型問題の解法"}]},"item_type_id":"4","publish_date":"2020-10-09","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"早稲田大学大学院基幹理工学研究科情報理工・情報通信専攻"},{"subitem_text_value":"早稲田大学グリーン・コンピューティング・システム研究機構"},{"subitem_text_value":"早稲田大学グリーン・コンピューティング・システム研究機構"},{"subitem_text_value":"NTTソフトウェアイノベーションセンタ"},{"subitem_text_value":"NTTソフトウェアイノベーションセンタ"},{"subitem_text_value":"NTTソフトウェアイノベーションセンタ"},{"subitem_text_value":"早稲田大学大学院基幹理工学研究科情報理工・情報通信専攻"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Dept. Computer Science and Communications Engineering, Waseda University","subitem_text_language":"en"},{"subitem_text_value":"Green Computing System Research Organization, Waseda University","subitem_text_language":"en"},{"subitem_text_value":"Green Computing System Research Organization, Waseda University","subitem_text_language":"en"},{"subitem_text_value":"NTT Software Innovation Center","subitem_text_language":"en"},{"subitem_text_value":"NTT Software Innovation Center","subitem_text_language":"en"},{"subitem_text_value":"NTT Software Innovation Center","subitem_text_language":"en"},{"subitem_text_value":"Dept. Computer Science and Communications Engineering, Waseda 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/207311/files/IPSJ-QS20001025.pdf","label":"IPSJ-QS20001025.pdf"},"date":[{"dateType":"Available","dateValue":"2022-10-09"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-QS20001025.pdf","filesize":[{"value":"1.3 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":"cfed699a-a83f-4eb0-bdb5-7a6827248c85","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2020 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"吉村, 夏一"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"多和田, 雅師"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"田中, 宗"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"新井, 淳也"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"巴, 徳瑪"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"八木, 哲志"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"戸川, 望"}],"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":"近年，組合せ最適化問題の準最適解を高速に得られるハードウェアとして，イジングマシンが注目されている．イジングマシンはイジングモデルのみを入力として受け付けるため，組合せ最適化問題ごとにイジングモデルへのマッピングを考える必要がある．組合せ最適化問題として誘導部分グラフ同型問題に注目する．ネットワークや木，系列などの構造を持つ多くの現実問題はその構造を頂点集合と辺集合からなるグラフで表すことができる．誘導部分グラフ同型問題は対象となるグラフ構造の中に特定の構造を持つ誘導部分グラフが存在するか否かを判定する問題であり，集積回路から不正回路を探索する際などに出現する．現実問題をグラフ構造に落とし込む際，無向グラフでは表現できず有向グラフが必要な場合もある．本稿では，有向グラフに対する誘導部分グラフ同型問題をイジングマシンによって解く手法を提案する．提案手法ではイジングモデルのエネルギー関数として，一方の有向グラフが他方の有向グラフに対して，誘導部分グラフ同型となるときイジングモデルのエネルギーが最小となるよう定式化する．提案手法により有向グラフに対する誘導部分グラフ同型問題を実際にイジングモデル上で求解した結果を報告する．","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":"2020-10-09","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"25","bibliographicVolumeNumber":"2020-QS-1"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"updated":"2025-01-19T19:11:39.140580+00:00","created":"2025-01-19T01:09:01.859312+00:00","links":{},"id":207311}