{"created":"2023-05-15T15:01:05.335529+00:00","id":82871,"links":{},"metadata":{"_buckets":{"deposit":"552767fd-9c34-498a-a90e-2a082a4fd854"},"_deposit":{"created_by":1,"id":"82871","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"82871"},"status":"published"},"_oai":{"id":"oai:repo.qst.go.jp:00082871","sets":["10:29"]},"author_link":["994423","994422","994414","994424","994417","994420","994416","994419","994421","994418","994415"],"item_10005_date_7":{"attribute_name":"発表年月日","attribute_value_mlt":[{"subitem_date_issued_datetime":"2021-05-25","subitem_date_issued_type":"Issued"}]},"item_10005_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"主成分分析は多変量データから重要な低次元成分を抽出する統計手法である．しかし，主成分分析のアルゴリズムは特異値分解に基づくため，次元数（変量の数）が数百万を超えるデータには，計算時間の問題からしばしば適用が困難となる．我々は近年発案された「量子インスパイアアルゴリズム」を用い，計算時間を次元数の対数オーダーに抑えつつ，主成分分析を近似するアルゴリズムを計算機実装した．本報告において，複数の人工データ・実データを用いてその計算時間と性能を評価した結果を紹介する．","subitem_description_type":"Abstract"}]},"item_10005_description_6":{"attribute_name":"会議概要（会議名, 開催地, 会期, 主催者等）","attribute_value_mlt":[{"subitem_description":"第44回量子情報技術研究会（QIT44）","subitem_description_type":"Other"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"間島, 慶"}],"nameIdentifiers":[{"nameIdentifier":"994414","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"小出(間島)真子"}],"nameIdentifiers":[{"nameIdentifier":"994415","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"田桑, 弘之"}],"nameIdentifiers":[{"nameIdentifier":"994416","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"樋口, 真人"}],"nameIdentifiers":[{"nameIdentifier":"994417","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"須原, 哲也"}],"nameIdentifiers":[{"nameIdentifier":"994418","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"八幡, 憲明"}],"nameIdentifiers":[{"nameIdentifier":"994419","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Kei, Majima","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"994420","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Hiroyuki, Takuwa","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"994421","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Makoto, Higuchi","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"994422","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Tetsuya, Suhara","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"994423","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Noriaki, Yahata","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"994424","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2022-03-28"}],"displaytype":"detail","filename":"439ca5db0c83b20113ac6f76aa54eb7e.pdf","filesize":[{"value":"810.7 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"超高次元データ解析のための 量子インスパイア主成分分析の開発.pdf","url":"https://repo.qst.go.jp/record/82871/files/439ca5db0c83b20113ac6f76aa54eb7e.pdf"},"version_id":"65013a3b-0b43-40b7-9ff2-edc3e710c529"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"conference object","resourceuri":"http://purl.org/coar/resource_type/c_c94f"}]},"item_title":"超高次元データ解析のための量子インスパイア主成分分析の開発","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"超高次元データ解析のための量子インスパイア主成分分析の開発"}]},"item_type_id":"10005","owner":"1","path":["29"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-05-20"},"publish_date":"2021-05-20","publish_status":"0","recid":"82871","relation_version_is_last":true,"title":["超高次元データ解析のための量子インスパイア主成分分析の開発"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-05-15T20:05:49.630977+00:00"}