{"id":"https://openalex.org/W7166181402","doi":"https://doi.org/10.1109/qsw72780.2026.00037","title":"MPE-Adam: Multi-Population Evolutionary Optimization with Adam Refinement for QAOA","display_name":"MPE-Adam: Multi-Population Evolutionary Optimization with Adam Refinement for QAOA","publication_year":2026,"publication_date":"2026-07-01","ids":{"openalex":"https://openalex.org/W7166181402","doi":"https://doi.org/10.1109/qsw72780.2026.00037"},"language":"en","primary_location":{"id":"doi:10.1109/qsw72780.2026.00037","doi":"https://doi.org/10.1109/qsw72780.2026.00037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qsw72780.2026.00037","pdf_url":null,"source":{"id":"https://openalex.org/S7407088558","display_name":"IEEE International Conference on Quantum Software (QSW)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Quantum Software (QSW)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2606.26670","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139463191","display_name":"Chi Quan Luu","orcid":"https://orcid.org/0009-0002-3185-0617","observed_orcids":["https://orcid.org/0009-0002-3185-0617"]},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chi Quan Luu","raw_affiliation_strings":["University of Wollongong"],"raw_orcid":"https://orcid.org/0009-0002-3185-0617","affiliations":[{"raw_affiliation_string":"University of Wollongong","institution_ids":["https://openalex.org/I204824540"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040179679","display_name":"Thai T. Vu","orcid":"https://orcid.org/0000-0002-9826-3321","observed_orcids":["https://orcid.org/0000-0002-9826-3321"]},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Thai T. Vu","raw_affiliation_strings":["University of Wollongong"],"raw_orcid":"https://orcid.org/0000-0002-9826-3321","affiliations":[{"raw_affiliation_string":"University of Wollongong","institution_ids":["https://openalex.org/I204824540"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5137698734","display_name":"John Le","orcid":"https://orcid.org/0000-0003-0019-0345","observed_orcids":["https://orcid.org/0000-0003-0019-0345"]},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"John Le","raw_affiliation_strings":["University of Wollongong"],"raw_orcid":"https://orcid.org/0000-0003-0019-0345","affiliations":[{"raw_affiliation_string":"University of Wollongong","institution_ids":["https://openalex.org/I204824540"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204824540"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32656585,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"247","last_page":"253"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.00039999998989515007,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10963","display_name":"Advanced Optimization Algorithms Research","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/quantum-approximate-optimization-algorithm","display_name":"quantum approximate optimization algorithm","score":0.9259999990463257},{"id":"https://openalex.org/keywords/variational-quantum-algorithms","display_name":"variational quantum algorithms","score":0.8529999852180481},{"id":"https://openalex.org/keywords/parameter-optimization","display_name":"parameter optimization","score":0.7919999957084656},{"id":"https://openalex.org/keywords/adam-optimizer","display_name":"Adam optimizer","score":0.8740000128746033},{"id":"https://openalex.org/keywords/hybrid-quantum-classical-optimization","display_name":"hybrid quantum-classical optimization","score":0.9200000166893005},{"id":"https://openalex.org/keywords/max-cut","display_name":"MaxCut","score":0.9309999942779541},{"id":"https://openalex.org/keywords/cubic-graphs","display_name":"cubic graphs","score":0.8309999704360962},{"id":"https://openalex.org/keywords/measurement-noise","display_name":"measurement noise","score":0.6420000195503235},{"id":"https://openalex.org/keywords/nonconvex-optimization","display_name":"non-convex optimization","score":0.7609999775886536}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5799000263214111},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5555999875068665},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.5291000008583069},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.5281000137329102},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5015000104904175},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4699000120162964},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.4578999876976013},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.4503999948501587},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.4453999996185303},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4429999887943268},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.44029998779296875},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42820000648498535},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.4269999861717224},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4196000099182129},{"id":"https://openalex.org/C192122513","wikidata":"https://www.wikidata.org/wiki/Q2835770","display_name":"Quantum phase estimation algorithm","level":5,"score":0.4009999930858612},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.39480000734329224},{"id":"https://openalex.org/C137019171","wikidata":"https://www.wikidata.org/wiki/Q2623817","display_name":"Quantum algorithm","level":3,"score":0.3765999972820282},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.37040001153945923},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.35429999232292175},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.33550000190734863},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.32600000500679016},{"id":"https://openalex.org/C109578324","wikidata":"https://www.wikidata.org/wiki/Q3354463","display_name":"Random optimization","level":5,"score":0.3009999990463257},{"id":"https://openalex.org/C177179195","wikidata":"https://www.wikidata.org/wiki/Q7268372","display_name":"Quadratic unconstrained binary optimization","level":4,"score":0.2957000136375427},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2786000072956085},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.2741999924182892},{"id":"https://openalex.org/C2778926657","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum system","level":3,"score":0.2662000060081482},{"id":"https://openalex.org/C73586568","wikidata":"https://www.wikidata.org/wiki/Q2600211","display_name":"Parameter space","level":2,"score":0.26570001244544983},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.2547999918460846},{"id":"https://openalex.org/C126661757","wikidata":"https://www.wikidata.org/wiki/Q4925641","display_name":"Random search","level":2,"score":0.2524000108242035}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/qsw72780.2026.00037","doi":"https://doi.org/10.1109/qsw72780.2026.00037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qsw72780.2026.00037","pdf_url":null,"source":{"id":"https://openalex.org/S7407088558","display_name":"IEEE International Conference on Quantum Software (QSW)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Quantum Software (QSW)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2606.26670","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2606.26670","pdf_url":"https://arxiv.org/pdf/2606.26670","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2606.26670","doi":"https://doi.org/10.48550/arxiv.2606.26670","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.26670","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2606.26670","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2606.26670","pdf_url":"https://arxiv.org/pdf/2606.26670","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7166181402.pdf","grobid_xml":"https://content.openalex.org/works/W7166181402.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1451881698","https://openalex.org/W1559956479","https://openalex.org/W1985123706","https://openalex.org/W2124289529","https://openalex.org/W2257937122","https://openalex.org/W2754868542","https://openalex.org/W2794444783","https://openalex.org/W2903058119","https://openalex.org/W2951211905","https://openalex.org/W2960556599","https://openalex.org/W2980835754","https://openalex.org/W3201142762","https://openalex.org/W4380078551","https://openalex.org/W4392877631","https://openalex.org/W4399118343","https://openalex.org/W4400560454","https://openalex.org/W4408847956","https://openalex.org/W4411224830","https://openalex.org/W4412106300","https://openalex.org/W4412933107","https://openalex.org/W4416874629","https://openalex.org/W4416874689"],"related_works":["https://openalex.org/W6929285082","https://openalex.org/W4416874629","https://openalex.org/W7207781875","https://openalex.org/W7112826447","https://openalex.org/W4409364546","https://openalex.org/W4409013875","https://openalex.org/W4416355039","https://openalex.org/W4412107091","https://openalex.org/W4417087259","https://openalex.org/W4402351287"],"abstract_inverted_index":{"Parameter":[0],"optimization":[1,82,155],"is":[2,101],"a":[3,23,32,39,80,104],"central":[4],"bottleneck":[5],"in":[6,163],"variational":[7],"quantum":[8,33,109,164],"algorithms":[9],"such":[10],"as":[11,103],"the":[12,45,53,72],"Quantum":[13],"Approximate":[14],"Optimization":[15],"Algorithm":[16],"(QAOA).":[17],"The":[18,99,128],"classical":[19],"optimizer":[20],"must":[21],"navigate":[22],"high-dimensional,":[24],"non-convex":[25],"parameter":[26,46],"space":[27,47],"under":[28],"measurement":[29],"noise.":[30],"From":[31],"software":[34,110],"perspective,":[35],"this":[36],"process":[37],"forms":[38],"multi-stage":[40,154],"workflow:":[41],"global":[42,90],"exploration":[43,91],"of":[44,74],"followed":[48],"by":[49],"local":[50,97],"refinement":[51,95],"within":[52],"hybrid":[54,81],"quantum-classical":[55],"loop.":[56],"Most":[57],"existing":[58],"approaches,":[59],"however,":[60],"employ":[61],"single-stage":[62],"optimizers":[63],"that":[64,84,131,152],"do":[65],"not":[66],"separate":[67],"these":[68],"roles,":[69],"which":[70],"limits":[71],"use":[73],"complementary":[75],"strategies.":[76],"We":[77,112],"propose":[78],"MPE-Adam,":[79],"framework":[83],"integrates":[85],"multi-population":[86],"evolutionary":[87],"search":[88],"for":[89,96,108],"with":[92,123,145],"Adam-based":[93],"gradient":[94],"convergence.":[98],"method":[100],"structured":[102,153],"modular":[105],"component":[106],"suitable":[107],"pipelines.":[111],"evaluate":[113],"MPE-Adam":[114,132],"on":[115],"MaxCut":[116],"instances":[117],"generated":[118],"from":[119],"random":[120],"3-regular":[121],"graphs":[122],"up":[124],"to":[125],"22":[126],"nodes.":[127],"results":[129],"show":[130],"achieves":[133],"higher":[134],"approximation":[135],"ratios":[136],"and":[137,142,160],"lower":[138],"variance":[139],"than":[140],"evolutionary-only":[141],"SPSA-based":[143],"baselines,":[144],"statistically":[146],"significant":[147],"improvements.":[148],"These":[149],"findings":[150],"indicate":[151],"improves":[156],"both":[157],"solution":[158],"quality":[159],"software-level":[161],"flexibility":[162],"applications.":[165]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-06-27T00:00:00"}