{"id":"https://openalex.org/W4416875151","doi":"https://doi.org/10.1109/qce65121.2025.10391","title":"Generative Graph Modeling on NISQ Computers","display_name":"Generative Graph Modeling on NISQ Computers","publication_year":2025,"publication_date":"2025-08-30","ids":{"openalex":"https://openalex.org/W4416875151","doi":"https://doi.org/10.1109/qce65121.2025.10391"},"language":null,"primary_location":{"id":"doi:10.1109/qce65121.2025.10391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qce65121.2025.10391","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":"article","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/A5119789679","display_name":"Oriol Ball\u00f3-Gimbernat","orcid":null},"institutions":[{"id":"https://openalex.org/I4210087295","display_name":"Centre Tecnologic de Telecomunicacions de Catalunya","ror":"https://ror.org/001cwea56","country_code":"ES","type":"nonprofit","lineage":["https://openalex.org/I4210087295","https://openalex.org/I4387153040"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Oriol Ball\u00f3-Gimbernat","raw_affiliation_strings":["Eurecat,Centre Tecnol&#x00F2;gic de Catalunya,Barcelona,Spain"],"affiliations":[{"raw_affiliation_string":"Eurecat,Centre Tecnol&#x00F2;gic de Catalunya,Barcelona,Spain","institution_ids":["https://openalex.org/I4210087295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5120459347","display_name":"Marcos Arroyo-S\u00e1nchez","orcid":null},"institutions":[{"id":"https://openalex.org/I4210087295","display_name":"Centre Tecnologic de Telecomunicacions de Catalunya","ror":"https://ror.org/001cwea56","country_code":"ES","type":"nonprofit","lineage":["https://openalex.org/I4210087295","https://openalex.org/I4387153040"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Marcos Arroyo-Sanchez","raw_affiliation_strings":["Eurecat,Centre Tecnol&#x00F2;gic de Catalunya,Barcelona,Spain"],"affiliations":[{"raw_affiliation_string":"Eurecat,Centre Tecnol&#x00F2;gic de Catalunya,Barcelona,Spain","institution_ids":["https://openalex.org/I4210087295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5119789679"],"corresponding_institution_ids":["https://openalex.org/I4210087295"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21023502,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"452","last_page":"453"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9538000226020813,"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":0.9538000226020813,"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/T11804","display_name":"Quantum many-body systems","score":0.01080000028014183,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10363","display_name":"Low-power high-performance VLSI design","score":0.0031999999191612005,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/qubit","display_name":"Qubit","score":0.5541999936103821},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5372999906539917},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5260999798774719},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4837999939918518},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4140999913215637},{"id":"https://openalex.org/keywords/quantum-computer","display_name":"Quantum computer","score":0.41290000081062317},{"id":"https://openalex.org/keywords/quadratic-growth","display_name":"Quadratic growth","score":0.4122999906539917},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.37290000915527344},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.365200012922287}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7174999713897705},{"id":"https://openalex.org/C203087015","wikidata":"https://www.wikidata.org/wiki/Q378201","display_name":"Qubit","level":3,"score":0.5541999936103821},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5372999906539917},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5260999798774719},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.51910001039505},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4837999939918518},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4140999913215637},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.41290000081062317},{"id":"https://openalex.org/C195956108","wikidata":"https://www.wikidata.org/wiki/Q7268362","display_name":"Quadratic growth","level":2,"score":0.4122999906539917},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37929999828338623},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.37290000915527344},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36570000648498535},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.365200012922287},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.36320000886917114},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.3508000075817108},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.335099995136261},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.33090001344680786},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.3271999955177307},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.32330000400543213},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.30320000648498535},{"id":"https://openalex.org/C124148022","wikidata":"https://www.wikidata.org/wiki/Q2122210","display_name":"Quantum circuit","level":5,"score":0.29739999771118164},{"id":"https://openalex.org/C137019171","wikidata":"https://www.wikidata.org/wiki/Q2623817","display_name":"Quantum algorithm","level":3,"score":0.2971000075340271},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.29649999737739563},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.28450000286102295},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.2793000042438507},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.27129998803138733},{"id":"https://openalex.org/C13251829","wikidata":"https://www.wikidata.org/wiki/Q3085841","display_name":"Dense graph","level":5,"score":0.2612000107765198},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.25220000743865967},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.2508000135421753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/qce65121.2025.10391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qce65121.2025.10391","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":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2069280326"],"related_works":[],"abstract_inverted_index":{"Quantum":[0,21,45],"generative":[1,161],"models":[2],"offer":[3],"an":[4,49,118],"inherently":[5],"efficient":[6],"sampling":[7],"procedure,":[8],"yet":[9],"their":[10],"training":[11,31],"on":[12,42,163],"quantum":[13],"hardware":[14,47],"is":[15],"often":[16],"a":[17,26,83,109,157],"bottleneck.":[18],"Parametrized":[19],"Instantaneous":[20],"Polynomial-time":[22],"(IQP)":[23],"circuits":[24,155],"present":[25],"promising":[27],"approach":[28],"combining":[29],"classical":[30],"with":[32,69,90,117],"single-shot":[33],"measurements":[34],"for":[35,65,146,160,176],"sample":[36],"generation.":[37],"However,":[38],"its":[39],"practical":[40,158],"viability":[41],"Noisy":[43],"Intermediate-Scale":[44],"(NISQ)":[46],"remains":[48],"open":[50],"question.":[51],"In":[52,127],"this":[53,63],"work,":[54],"we":[55],"provide":[56],"the":[57,102,130,169],"first":[58],"large-scale":[59],"experimental":[60],"validation":[61],"of":[62,85,133],"method":[64],"learning":[66,129],"graph":[67,80],"distributions":[68],"both":[70],"local":[71],"(edge":[72],"probabilities)":[73],"and":[74,105,138],"global":[75,131],"(\u20182-colorability\u2019)":[76],"constraints.":[77],"While":[78],"our":[79,93],"encoding":[81],"requires":[82],"number":[84],"qubits":[86],"that":[87,172],"scales":[88],"quadratically":[89],"node":[91],"count,":[92],"experiments,":[94],"ranging":[95],"from":[96],"28":[97],"to":[98,140],"153":[99],"qubits,":[100],"demonstrate":[101],"approach's":[103],"capabilities":[104],"limitations.":[106],"For":[107],"instance,":[108],"153-qubit":[110],"model":[111],"successfully":[112],"learned":[113],"sparse":[114,148],"Erd\u0151sR\u00e9nyi":[115],"graphs":[116],"average":[119],"edge":[120],"probability":[121],"error":[122],"below":[123],"two":[124],"percentage":[125],"points.":[126],"contrast,":[128],"property":[132],"bipartiteness":[134],"proved":[135],"more":[136],"challenging":[137],"sensitive":[139],"noise,":[141],"achieving":[142],"25.78":[143],"%":[144],"accuracy":[145],"18-node":[147],"instances.":[149],"These":[150],"results":[151],"validate":[152],"parametrized":[153],"IQP":[154],"as":[156],"tool":[159],"modeling":[162],"near-term":[164],"devices,":[165],"while":[166],"clearly":[167],"delineating":[168],"critical":[170],"challenges":[171],"must":[173],"be":[174],"addressed":[175],"future":[177],"progress.":[178]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-12-01T00:00:00"}
