{"id":"https://openalex.org/W7154765430","doi":"https://doi.org/10.48550/arxiv.2604.14609","title":"El Agente Forjador: Task-Driven Agent Generation for Quantum Simulation","display_name":"El Agente Forjador: Task-Driven Agent Generation for Quantum Simulation","publication_year":2026,"publication_date":"2026-04-16","ids":{"openalex":"https://openalex.org/W7154765430","doi":"https://doi.org/10.48550/arxiv.2604.14609"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.14609","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.14609","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.14609","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133915862","display_name":"Zijian Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Zijian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005768248","display_name":"Aiwei Yin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yin, Aiwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133901894","display_name":"Amaan Baweja","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Baweja, Amaan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133863163","display_name":"Jiaru Bai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bai, Jiaru","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089709980","display_name":"Ignacio Gust\u00edn","orcid":"https://orcid.org/0000-0003-0240-8782"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gustin, Ignacio","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133868799","display_name":"Varinia Bernales","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bernales, Varinia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133869812","display_name":"Al\u00e1n Aspuru-Guzik","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aspuru-Guzik, Al\u00e1n","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.5415999889373779,"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"}},"topics":[{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.5415999889373779,"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"}},{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.3068000078201294,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11804","display_name":"Quantum many-body systems","score":0.010599999688565731,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.7626000046730042},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.7242000102996826},{"id":"https://openalex.org/keywords/expediting","display_name":"Expediting","score":0.7028999924659729},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.611299991607666},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.34630000591278076}],"concepts":[{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.7626000046730042},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.7242000102996826},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7067999839782715},{"id":"https://openalex.org/C134448949","wikidata":"https://www.wikidata.org/wiki/Q1384274","display_name":"Expediting","level":2,"score":0.7028999924659729},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.611299991607666},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.34630000591278076},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3305000066757202},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.3068000078201294},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.28630000352859497},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.28110000491142273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27639999985694885},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.27639999985694885}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.14609","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.14609","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.14609","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.14609","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"AI":[0],"for":[1,166,177],"science":[2],"promises":[3],"to":[4,46,183,203,225],"accelerate":[5],"the":[6,20,32,122,126,141,163,220],"discovery":[7],"process.":[8],"The":[9],"advent":[10],"of":[11,22,26,31,35,76,109,114],"large":[12],"language":[13],"models":[14],"(LLMs)":[15],"and":[16,49,68,83,94,118,134,160,200],"agentic":[17,36],"workflows":[18],"enables":[19],"expediting":[21],"a":[23,57,73,115,148,152,211],"growing":[24],"range":[25],"scientific":[27,198,207],"tasks.":[28,186],"However,":[29],"most":[30],"current":[33],"generation":[34,108,133],"systems":[37],"depend":[38],"on":[39,97],"static,":[40],"hand-curated":[41],"toolsets":[42],"that":[43,130,146,174,192],"hinder":[44],"adaptation":[45],"new":[47],"domains":[48,179],"evolving":[50],"libraries.":[51],"We":[52,128,143],"present":[53],"El":[54],"Agente":[55],"Forjador,":[56],"multi-agent":[58],"framework":[59,136],"in":[60,213],"which":[61,214],"universal":[62],"coding":[63,99,123,154,168,201],"agents":[64,124,194],"autonomously":[65,204],"forge,":[66],"validate,":[67],"reuse":[69,113,135],"computational":[70],"tools":[71,110,175],"through":[72],"four-stage":[74],"workflow":[75],"tool":[77,79,132],"analysis,":[78],"generation,":[80],"task":[81],"execution,":[82],"iterative":[84],"solution":[85,164],"evaluation.":[86],"Evaluated":[87],"across":[88],"24":[89],"tasks":[90,221],"spanning":[91],"quantum":[92,95],"chemistry":[93],"dynamics":[96],"five":[98],"agent":[100,155,215],"setups,":[101],"we":[102],"compare":[103],"three":[104],"operating":[105],"modes:":[106],"zero-shot":[107],"per":[111],"task,":[112],"curriculum-built":[116],"toolset,":[117],"direct":[119],"problem-solving":[120],"with":[121],"as":[125],"baseline.":[127,142],"find":[129],"our":[131],"consistently":[137],"improves":[138],"accuracy":[139],"over":[140],"also":[144],"show":[145,191],"reusing":[147],"toolset":[149],"built":[150],"by":[151,219,229],"stronger":[153],"can":[156,180,195],"reduce":[157],"API":[158],"cost":[159],"substantially":[161],"raises":[162],"quality":[165],"weaker":[167],"agents.":[169],"Case":[170],"studies":[171],"further":[172],"demonstrate":[173],"forged":[176],"different":[178],"be":[181],"combined":[182],"solve":[184,226],"hybrid":[185],"Taken":[187],"together,":[188],"these":[189],"results":[190],"LLM-based":[193],"use":[196],"their":[197],"knowledge":[199],"capabilities":[202,216],"build":[205],"reusable":[206],"tools,":[208],"pointing":[209],"toward":[210],"paradigm":[212],"are":[217,223],"defined":[218],"they":[222],"designed":[224],"rather":[227],"than":[228],"explicitly":[230],"engineered":[231],"implementations.":[232]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-18T00:00:00"}