{"created":"2023-05-15T15:02:26.624866+00:00","id":84669,"links":{},"metadata":{"_buckets":{"deposit":"eb0a8651-ffa2-42b8-b583-deca6c411a81"},"_deposit":{"created_by":1,"id":"84669","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"84669"},"status":"published"},"_oai":{"id":"oai:repo.qst.go.jp:00084669","sets":["1"]},"author_link":["1021879","1021880","1021881"],"item_8_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2021-12","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"6","bibliographicPageStart":"062411 ","bibliographicVolumeNumber":"104","bibliographic_titles":[{"bibliographic_title":"Physical Review A"}]}]},"item_8_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"The application of near-term quantum devices to machine learning (ML) has attracted much attention. Recently, Mitarai et al. [Phys. Rev. A 98, 032309 (2018)] proposed a framework to use a quantum circuit for ML tasks, called quantum circuit learning (QCL). Due to the use of a quantum circuit, QCL employs an exponentially high-dimensional Hilbert space as its feature space. However, its efficiency compared to classical algorithms remains unexplored. Here, we present a classical ML algorithm that uses the same Hilbert space. In numerical simulations, our algorithm demonstrates similar performance to QCL for several ML tasks, providing a perspective for the computational and memory efficiency of quantum ML algorithms.","subitem_description_type":"Abstract"}]},"item_8_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"American Physical Society"}]},"item_8_relation_14":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"10.1103/PhysRevA.104.062411","subitem_relation_type_select":"DOI"}}]},"item_8_relation_17":{"attribute_name":"関連サイト","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://journals.aps.org/pra/abstract/10.1103/PhysRevA.104.062411","subitem_relation_type_select":"URI"}}]},"item_8_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1050-2947","subitem_source_identifier_type":"ISSN"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"metadata only access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_14cb"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Naoko, Koide-Majima"}],"nameIdentifiers":[{"nameIdentifier":"1021879","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Majima, Kei"}],"nameIdentifiers":[{"nameIdentifier":"1021880","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Kei, Majima","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"1021881","nameIdentifierScheme":"WEKO"}]}]},"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":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Fast and scalable classical machine-learning algorithm with similar performance to quantum circuit learning","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Fast and scalable classical machine-learning algorithm with similar performance to quantum circuit learning"}]},"item_type_id":"8","owner":"1","path":["1"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-01-09"},"publish_date":"2022-01-09","publish_status":"0","recid":"84669","relation_version_is_last":true,"title":["Fast and scalable classical machine-learning algorithm with similar performance to quantum circuit learning"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-05-15T18:16:32.385985+00:00"}