{"id":"https://openalex.org/W4416874667","doi":"https://doi.org/10.1109/qce65121.2025.00168","title":"QAOA-GPT: Efficient Generation of Adaptive and Regular Quantum Approximate Optimization Algorithm Circuits","display_name":"QAOA-GPT: Efficient Generation of Adaptive and Regular Quantum Approximate Optimization Algorithm Circuits","publication_year":2025,"publication_date":"2025-08-30","ids":{"openalex":"https://openalex.org/W4416874667","doi":"https://doi.org/10.1109/qce65121.2025.00168"},"language":null,"primary_location":{"id":"doi:10.1109/qce65121.2025.00168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qce65121.2025.00168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Quantum Computing and Engineering (QCE)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083306739","display_name":"Ilya Tyagin","orcid":"https://orcid.org/0000-0002-0249-1072"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ilya Tyagin","raw_affiliation_strings":["University of Delaware,Department of Computer and Information Sciences,Newark,DE,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Delaware,Department of Computer and Information Sciences,Newark,DE,USA","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044831337","display_name":"Marwa Farag","orcid":"https://orcid.org/0000-0003-4577-3384"},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marwa H. Farag","raw_affiliation_strings":["NVIDIA Corporation,Santa Clara,CA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA Corporation,Santa Clara,CA,USA","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013707148","display_name":"Kyle Sherbert","orcid":"https://orcid.org/0000-0002-5258-6539"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kyle Sherbert","raw_affiliation_strings":["Virginia Tech,Center for Quantum Information Science and Engineering,Department of Chemistry, Department of Physics,Blacksburg,VA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Virginia Tech,Center for Quantum Information Science and Engineering,Department of Chemistry, Department of Physics,Blacksburg,VA,USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083260988","display_name":"Karunya Shirali","orcid":"https://orcid.org/0000-0002-2006-2343"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Karunya Shirali","raw_affiliation_strings":["Virginia Tech,Center for Quantum Information Science and Engineering,Department of Physics,Blacksburg,USA,VA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Virginia Tech,Center for Quantum Information Science and Engineering,Department of Physics,Blacksburg,USA,VA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007973964","display_name":"Yuri Alexeev","orcid":"https://orcid.org/0000-0001-5066-2254"},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuri Alexeev","raw_affiliation_strings":["NVIDIA Corporation,Santa Clara,CA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA Corporation,Santa Clara,CA,USA","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057164472","display_name":"Ilya Safro","orcid":"https://orcid.org/0000-0001-6284-7408"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ilya Safro","raw_affiliation_strings":["University of Delaware,Department of Computer and Information Sciences, Department of Physics and Astronomy,Newark,DE,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Delaware,Department of Computer and Information Sciences, Department of Physics and Astronomy,Newark,DE,USA","institution_ids":["https://openalex.org/I86501945"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.673,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.8787838,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1505","last_page":"1515"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9861999750137329,"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":0.9861999750137329,"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/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.0010999999940395355,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11948","display_name":"Machine Learning in Materials Science","score":0.0010999999940395355,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/quantum-computer","display_name":"Quantum computer","score":0.6026999950408936},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.565500020980835},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.546500027179718},{"id":"https://openalex.org/keywords/quantum-gate","display_name":"Quantum gate","score":0.5062000155448914},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.4788999855518341},{"id":"https://openalex.org/keywords/quadratic-unconstrained-binary-optimization","display_name":"Quadratic unconstrained binary optimization","score":0.4668000042438507},{"id":"https://openalex.org/keywords/quantum-circuit","display_name":"Quantum circuit","score":0.46540001034736633},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.4083999991416931},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.3953999876976013}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7289000153541565},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.6026999950408936},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.565500020980835},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.546500027179718},{"id":"https://openalex.org/C58849907","wikidata":"https://www.wikidata.org/wiki/Q2118982","display_name":"Quantum gate","level":4,"score":0.5062000155448914},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.4788999855518341},{"id":"https://openalex.org/C177179195","wikidata":"https://www.wikidata.org/wiki/Q7268372","display_name":"Quadratic unconstrained binary optimization","level":4,"score":0.4668000042438507},{"id":"https://openalex.org/C124148022","wikidata":"https://www.wikidata.org/wiki/Q2122210","display_name":"Quantum circuit","level":5,"score":0.46540001034736633},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46129998564720154},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4323999881744385},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.4083999991416931},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.3953999876976013},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.3862999975681305},{"id":"https://openalex.org/C90408235","wikidata":"https://www.wikidata.org/wiki/Q938141","display_name":"Quantum annealing","level":4,"score":0.3799000084400177},{"id":"https://openalex.org/C137019171","wikidata":"https://www.wikidata.org/wiki/Q2623817","display_name":"Quantum algorithm","level":3,"score":0.3617999851703644},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.35510000586509705},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.33869999647140503},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3077000081539154},{"id":"https://openalex.org/C203087015","wikidata":"https://www.wikidata.org/wiki/Q378201","display_name":"Qubit","level":3,"score":0.3059000074863434},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.2872999906539917},{"id":"https://openalex.org/C113089479","wikidata":"https://www.wikidata.org/wiki/Q210729","display_name":"Electrical element","level":2,"score":0.28519999980926514},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.28459998965263367},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.27489998936653137},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.26809999346733093},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.26100000739097595},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.25450000166893005}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/qce65121.2025.00168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qce65121.2025.00168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Quantum Computing and Engineering (QCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G571323334","display_name":null,"funder_award_id":"NERSC DDRERCAP0033101","funder_id":"https://openalex.org/F4320317220","funder_display_name":"National Energy Research Scientific Computing Center"}],"funders":[{"id":"https://openalex.org/F4320317220","display_name":"National Energy Research Scientific Computing Center","ror":"https://ror.org/05v3mvq14"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320332359","display_name":"Office of Science","ror":"https://ror.org/00mmn6b08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2032950184","https://openalex.org/W2051598459","https://openalex.org/W2132022337","https://openalex.org/W2559394418","https://openalex.org/W2906538035","https://openalex.org/W2948980992","https://openalex.org/W2954369586","https://openalex.org/W2981590007","https://openalex.org/W3026387229","https://openalex.org/W3094504436","https://openalex.org/W3106613142","https://openalex.org/W3127043585","https://openalex.org/W3205061038","https://openalex.org/W4226006885","https://openalex.org/W4383879098","https://openalex.org/W4384132074","https://openalex.org/W4385245566","https://openalex.org/W4389159513","https://openalex.org/W4392877631","https://openalex.org/W4399207709","https://openalex.org/W4400894885","https://openalex.org/W4406261202","https://openalex.org/W4406261990"],"related_works":[],"abstract_inverted_index":{"Quantum":[0],"computing":[1],"has":[2],"the":[3,64,71,85,122,144,160,163,167],"potential":[4],"to":[5,9,48,136,158,181],"improve":[6],"our":[7],"ability":[8],"solve":[10],"certain":[11],"optimization":[12,58,165],"problems":[13],"that":[14,26,42,91,109,133,153,173],"are":[15,196],"computationally":[16],"difficult":[17],"for":[18,53,116],"classical":[19,148,164],"computers":[20],"by":[21],"offering":[22],"new":[23,117],"algorithmic":[24],"approaches":[25,152],"may":[27],"provide":[28],"speedups":[29],"under":[30],"specific":[31],"conditions.":[32],"In":[33],"this":[34],"work,":[35],"we":[36,78],"introduce":[37],"QAOA-GPT,":[38],"a":[39,81,89,102,178,187],"generative":[40,174],"framework":[41],"leverages":[43],"Generative":[44],"Pretrained":[45],"Transformers":[46],"(GPT)":[47],"directly":[49],"synthesize":[50],"quantum":[51,114,138,184],"circuits":[52,73,115,139,185],"solving":[54],"quadratic":[55],"unconstrained":[56],"binary":[57],"problems,":[59],"and":[60,74,94,150,162,193],"demonstrate":[61,108],"it":[62],"on":[63,67,101],"Max-Cut":[65],"problem":[66,118],"graphs.":[68],"To":[69],"diversify":[70],"training":[72,123],"ensure":[75],"their":[76],"quality,":[77],"have":[79],"generated":[80],"synthetic":[82],"dataset":[83],"using":[84,134],"adaptive":[86,151],"QAOA":[87,149],"approach,":[88],"method":[90],"incrementally":[92],"builds":[93],"optimizes":[95],"problemspecific":[96],"circuits.":[97],"The":[98],"experiments":[99],"conducted":[100],"curated":[103],"set":[104],"of":[105,147,166],"graph":[106],"instances":[107,119],"QAOA-GPT":[110,135],"generates":[111],"high":[112],"quality":[113],"unseen":[120],"in":[121,186],"as":[124,126],"well":[125],"successfully":[127],"parametrizes":[128],"QAOA.":[129],"Our":[130,170],"results":[131,195],"show":[132],"generate":[137,159,182],"will":[140],"significantly":[141],"decrease":[142],"both":[143],"computational":[145,194],"overhead":[146],"often":[154],"use":[155],"gradient":[156],"evaluation":[157],"circuit":[161,168],"parameters.":[169],"work":[171],"shows":[172],"AI":[175],"could":[176],"be":[177],"promising":[179],"avenue":[180],"compact":[183],"scalable":[188],"way.":[189],"Reproducibility:":[190],"source":[191],"code":[192],"available":[197],"at":[198],"https://github.com/IlyaTyagin/QAOA-GPT.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-12-01T00:00:00"}
