{"created":"2025-01-19T01:35:14.514704+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00233706","sets":["1164:10193:11470:11538"]},"path":["11538"],"owner":"44499","recid":"233706","title":["イジングマシンにおけるペナルティの導入による精度低下現象の分析"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-21"},"_buckets":{"deposit":"3731be8e-d32d-4849-bf3b-f3766e46407d"},"_deposit":{"id":"233706","pid":{"type":"depid","value":"233706","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"イジングマシンにおけるペナルティの導入による精度低下現象の分析","author_link":["635404","635405"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"イジングマシンにおけるペナルティの導入による精度低下現象の分析"}]},"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":"NTTコンピュータ&データサイエンス研究所／早稲田大学"},{"subitem_text_value":"早稲田大学"}]},"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/233706/files/IPSJ-QS24011032.pdf","label":"IPSJ-QS24011032.pdf"},"date":[{"dateType":"Available","dateValue":"2026-03-21"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-QS24011032.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":"62f6eb53-c469-42a8-b017-3f5cc7cee056","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":"大野, 乾太郎"}],"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":"イジングマシンは，イジングモデルの基底状態探索を通して組合せ最適化問題の解を高速にサンプルする計算機として期待されている．組合せ最適化問題は，制約条件をペナルティとして目的関数に足すペナルティ法によってイジングモデルとして定式化される．しかし，ペナルティ法を用いる際，イジングマシンが出力する解の精度が低いという課題がある．本稿では，最大 (k-) カット問題へのイジングマシンの適用を通して，ペナルティの導入による精度低下の度合いを定量化し，これを解消するための後処理手法を検証する．","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":"2024-03-21","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"32","bibliographicVolumeNumber":"2024-QS-11"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":233706,"updated":"2025-01-19T10:00:59.388368+00:00","links":{}}