{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00240374","sets":["1164:10193:11470:11768"]},"path":["11768"],"owner":"44499","recid":"240374","title":["Performance Analysis of Sample-Based Quantum Diagonalization"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-10-21"},"_buckets":{"deposit":"c5634ae6-a4db-4267-8aad-2819649d1aba"},"_deposit":{"id":"240374","pid":{"type":"depid","value":"240374","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Performance Analysis of Sample-Based Quantum Diagonalization","author_link":["659298","659304","659299","659297","659300","659303","659302","659301"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Performance Analysis of Sample-Based Quantum Diagonalization"},{"subitem_title":"Performance Analysis of Sample-Based Quantum Diagonalization","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2024-10-21","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"IBM Quantum, IBM Research-Tokyo／Department of Nuclear Engineering and Management, Graduate School of Engineering, The University of Tokyo"},{"subitem_text_value":"IBM Quantum, IBM Research-Tokyo"},{"subitem_text_value":"IBM Quantum, IBM Research-Tokyo"},{"subitem_text_value":"IBM Quantum, IBM Research-Tokyo"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"IBM Quantum, IBM Research-Tokyo / Department of Nuclear Engineering and Management, Graduate School of Engineering, The University of Tokyo","subitem_text_language":"en"},{"subitem_text_value":"IBM Quantum, IBM Research-Tokyo","subitem_text_language":"en"},{"subitem_text_value":"IBM Quantum, IBM Research-Tokyo","subitem_text_language":"en"},{"subitem_text_value":"IBM Quantum, IBM Research-Tokyo","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/240374/files/IPSJ-QS24013009.pdf","label":"IPSJ-QS24013009.pdf"},"date":[{"dateType":"Available","dateValue":"2026-10-21"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-QS24013009.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":"33baab34-7196-42ce-a234-8b22045cb71c","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":"Shigetora, Miyashita"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yukio, Kawashima"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hitomi, Takahashi"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hiroshi, Horii"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Shigetora, Miyashita","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yukio, Kawashima","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hitomi, Takahashi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hiroshi, Horii","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":"We present a novel workflow for sample-based quantum diagonalization (SQD) that combines classical optimization and quantum-selected configuration interaction (QSCI) with configuration recovery. Although quantum computers hold promise in simulating many-body quantum systems, most algorithms, including the variational quantum eigensolver (VQE), are limited by circuit depth and high error rates. To address these challenges, we introduce an implementation of SQD with constrained optimization by linear approximation (COBYLA) optimizer. This paper discusses the runtime of classical resources for performing SQD, its optimization with COBYLA for a small molecule, and the computational time required to simulate larger molecules.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"We present a novel workflow for sample-based quantum diagonalization (SQD) that combines classical optimization and quantum-selected configuration interaction (QSCI) with configuration recovery. Although quantum computers hold promise in simulating many-body quantum systems, most algorithms, including the variational quantum eigensolver (VQE), are limited by circuit depth and high error rates. To address these challenges, we introduce an implementation of SQD with constrained optimization by linear approximation (COBYLA) optimizer. This paper discusses the runtime of classical resources for performing SQD, its optimization with COBYLA for a small molecule, and the computational time required to simulate larger molecules.","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":"2024-10-21","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"9","bibliographicVolumeNumber":"2024-QS-13"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:44:32.028684+00:00","updated":"2025-01-19T08:00:01.118356+00:00","id":240374}