{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00235048","sets":["1164:10193:11470:11670"]},"path":["11670"],"owner":"44499","recid":"235048","title":["The State Preparation of Multivariate Normal Distributions using Tree Tensor Network"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-06-20"},"_buckets":{"deposit":"98eb8295-03c8-45d1-ae2d-217696dfd1ac"},"_deposit":{"id":"235048","pid":{"type":"depid","value":"235048","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"The State Preparation of Multivariate Normal Distributions using Tree Tensor Network","author_link":["641709","641708","641710","641707"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"The State Preparation of Multivariate Normal Distributions using Tree Tensor Network"},{"subitem_title":"The State Preparation of Multivariate Normal Distributions using Tree Tensor Network","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2024-06-20","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Engineering Science, Osaka University"},{"subitem_text_value":"Department of Nuclear Engineering, Kyoto University"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Engineering Science, Osaka University","subitem_text_language":"en"},{"subitem_text_value":"Department of Nuclear Engineering, Kyoto University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"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/235048/files/IPSJ-QS24012001.pdf","label":"IPSJ-QS24012001.pdf"},"date":[{"dateType":"Available","dateValue":"2026-06-20"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-QS24012001.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":"c09a539b-66e8-4670-b2cb-61bbb30faa32","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":"Hidetaka, Manabe"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yuichi, Sano"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Hidetaka, Manabe","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yuichi, Sano","creatorNameLang":"en"}],"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":"The quantum state preparation of probability distributions is an important subroutine for many quantum algorithms. When embedding D-dimensional multivariate probability distributions by discretizing each dimension into 2n-point, we need a state preparation circuit comprising a total of nD qubits, which is often difficult to compile. In this study, we propose a method to generate state preparation circuits for D-dimensional multivariate normal distributions, utilizing tensor networks. We represent the probability distribution with a tree tensor network and perform the task of quantum circuit compilation through the optimization of tensor networks. Especially, by employing structural optimization, we can search for a network structure that efficiently represents the correlations between variables. The numerical results suggest that our method can dramatically reduce the circuit depth while maintaining fidelity compared to existing approaches.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"The quantum state preparation of probability distributions is an important subroutine for many quantum algorithms. When embedding D-dimensional multivariate probability distributions by discretizing each dimension into 2n-point, we need a state preparation circuit comprising a total of nD qubits, which is often difficult to compile. In this study, we propose a method to generate state preparation circuits for D-dimensional multivariate normal distributions, utilizing tensor networks. We represent the probability distribution with a tree tensor network and perform the task of quantum circuit compilation through the optimization of tensor networks. Especially, by employing structural optimization, we can search for a network structure that efficiently represents the correlations between variables. The numerical results suggest that our method can dramatically reduce the circuit depth while maintaining fidelity compared to existing approaches.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告量子ソフトウェア（QS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-06-20","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024-QS-12"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"updated":"2025-01-19T09:37:31.941125+00:00","created":"2025-01-19T01:37:01.903236+00:00","id":235048}