{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T08:41:52Z","timestamp":1775724112338,"version":"3.50.1"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Japan Science and Technology Agency (JST)-Advanced Technologies for CArbon-Neutral (ALCA-Next)-Next Program, Japan","award":["JPMJAN23F4"],"award-info":[{"award-number":["JPMJAN23F4"]}]},{"DOI":"10.13039\/501100001691","name":"Japan Society for the Promotion of Science","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Scientific Research","award":["22H00515"],"award-info":[{"award-number":["22H00515"]}]},{"name":"Next Generation Researchers Challenging Research Program","award":["zk24010019"],"award-info":[{"award-number":["zk24010019"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Open J. Comput. Soc."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/ojcs.2025.3586953","type":"journal-article","created":{"date-parts":[[2025,7,8]],"date-time":"2025-07-08T13:41:18Z","timestamp":1751982078000},"page":"1146-1154","source":"Crossref","is-referenced-by-count":5,"title":["Benchmarking Variants of the Adam Optimizer for Quantum Machine Learning Applications"],"prefix":"10.1109","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2293-0968","authenticated-orcid":false,"given":"Tuan Hai","family":"Vu","sequence":"first","affiliation":[{"name":"Nara Institute of Science and Technology, Ikoma, Japan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0438-3809","authenticated-orcid":false,"given":"Vu Trung Duong","family":"Le","sequence":"additional","affiliation":[{"name":"Nara Institute of Science and Technology, Ikoma, Japan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4272-0132","authenticated-orcid":false,"given":"Hoai Luan","family":"Pham","sequence":"additional","affiliation":[{"name":"Nara Institute of Science and Technology, Ikoma, Japan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9457-5061","authenticated-orcid":false,"given":"Yasuhiko","family":"Nakashima","sequence":"additional","affiliation":[{"name":"Nara Institute of Science and Technology, Ikoma, Japan"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1137\/s0036144598347011"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/s42005-023-01312-y"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevApplied.19.024027"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.129.250502"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1080\/00107514.2014.964942"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s42484-020-00012-y"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/QCE60285.2024.00182"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1063\/5.0161057"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevA.107.032407"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s11128-021-03140-x"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.22331\/q-2020-05-25-269"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/0925-2312(93)90006-O"},{"key":"ref13","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kingma","year":"2014"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.22331\/q-2021-09-09-539"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.22331\/qv-2021-10-06-61"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/9.119632"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/QCE57702.2023.00058"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CANDAR64496.2024.00038"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1088\/2058-9565\/ab4eb5"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.22331\/q-2022-03-30-677"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1038\/s41534-019-0187-2"},{"key":"ref22","article-title":"Variational quantum gate optimization","author":"Heya","year":"2018"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.22331\/q-2019-05-13-140"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.22331\/q-2022-01-24-628"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1088\/1367-2630\/ad5df1"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1103\/physrevresearch.4.013091"},{"key":"ref27","article-title":"Variational preparation of entangled states on quantum computers","author":"Hai","year":"2023"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1088\/1367-2630\/ac37c8"},{"key":"ref29","article-title":"Quantum computing with Qiskit","author":"Javadi-Abhari","year":"2024"},{"key":"ref30","doi-asserted-by":"crossref","DOI":"10.1016\/j.softx.2024.101726","article-title":"<qo op>: A quantum object optimizer","volume":"26","author":"Hai","year":"2024","journal-title":"SoftwareX"},{"key":"ref31","article-title":"Pennylane: Automatic differentiation of hybrid quantum-classical computations","author":"Bergholm","year":"2018"},{"key":"ref32","article-title":"Decoupled weight decay regularization","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Loshchilov","year":"2019"},{"key":"ref33","article-title":"On the convergence of adam and beyond","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Reddi","year":"2018"},{"key":"ref34","article-title":"Incorporating Nesterov momentum into Adam","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Dozat","year":"2016"},{"key":"ref35","article-title":"On the variance of the adaptive learning rate and beyond","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Liu","year":"2020"},{"key":"ref36","article-title":"Quasi-hyperbolic momentum and adam for deep learning","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Ma","year":"2019"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1088\/1367-2630\/15\/11\/113022"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1103\/PRXQuantum.2.040309"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1002\/qute.201900070"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.22331\/q-2021-10-05-558"}],"container-title":["IEEE Open Journal of the Computer Society"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/8782664\/10834807\/11072814.pdf?arnumber=11072814","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,29]],"date-time":"2025-07-29T04:56:28Z","timestamp":1753764988000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11072814\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/ojcs.2025.3586953","relation":{},"ISSN":["2644-1268"],"issn-type":[{"value":"2644-1268","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}