{"id":"https://openalex.org/W7214035857","doi":"https://doi.org/10.48550/arxiv.2609.22822","title":"From IceCube to IT-Sphere: A Hybrid Quantum-Classical GNN for Banking IT Root Cause Analysis","display_name":"From IceCube to IT-Sphere: A Hybrid Quantum-Classical GNN for Banking IT Root Cause Analysis","publication_year":2026,"publication_date":"2026-09-19","ids":{"openalex":"https://openalex.org/W7214035857","doi":"https://doi.org/10.48550/arxiv.2609.22822"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2609.22822","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.22822","pdf_url":"https://arxiv.org/pdf/2609.22822","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"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2609.22822","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071216669","display_name":"Antonio Greco","orcid":"https://orcid.org/0000-0002-5495-2432","observed_orcids":["https://orcid.org/0000-0002-5495-2432"]},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]},{"id":"https://openalex.org/I160013858","display_name":"Istituto Nazionale di Fisica Nucleare","ror":"https://ror.org/005ta0471","country_code":"IT","type":"government","lineage":["https://openalex.org/I160013858"]},{"id":"https://openalex.org/I4210160382","display_name":"Istituto Nazionale di Fisica Nucleare, Sezione di Pisa","ror":"https://ror.org/05symbg58","country_code":"IT","type":"facility","lineage":["https://openalex.org/I160013858","https://openalex.org/I4210160382"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Greco, Antonio","raw_affiliation_strings":["Department of Physical Sciences, Earth and Environment (DSFTA) , University of Siena , Siena , Italy","Istituto Nazionale di Fisica Nucleare (INFN) , Pisa , Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Physical Sciences, Earth and Environment (DSFTA) , University of Siena , Siena , Italy","institution_ids":["https://openalex.org/I102064193"]},{"raw_affiliation_string":"Istituto Nazionale di Fisica Nucleare (INFN) , Pisa , Italy","institution_ids":["https://openalex.org/I160013858","https://openalex.org/I4210160382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027349658","display_name":"R. Paoletti","orcid":"https://orcid.org/0000-0003-0158-2826","observed_orcids":["https://orcid.org/0000-0003-0158-2826"]},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]},{"id":"https://openalex.org/I160013858","display_name":"Istituto Nazionale di Fisica Nucleare","ror":"https://ror.org/005ta0471","country_code":"IT","type":"government","lineage":["https://openalex.org/I160013858"]},{"id":"https://openalex.org/I4210160382","display_name":"Istituto Nazionale di Fisica Nucleare, Sezione di Pisa","ror":"https://ror.org/05symbg58","country_code":"IT","type":"facility","lineage":["https://openalex.org/I160013858","https://openalex.org/I4210160382"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Paoletti, Riccardo","raw_affiliation_strings":["Department of Physical Sciences, Earth and Environment (DSFTA) , University of Siena , Siena , Italy","Istituto Nazionale di Fisica Nucleare (INFN) , Pisa , Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Physical Sciences, Earth and Environment (DSFTA) , University of Siena , Siena , Italy","institution_ids":["https://openalex.org/I102064193"]},{"raw_affiliation_string":"Istituto Nazionale di Fisica Nucleare (INFN) , Pisa , Italy","institution_ids":["https://openalex.org/I160013858","https://openalex.org/I4210160382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036767099","display_name":"R. Cappuccio","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]},{"id":"https://openalex.org/I160013858","display_name":"Istituto Nazionale di Fisica Nucleare","ror":"https://ror.org/005ta0471","country_code":"IT","type":"government","lineage":["https://openalex.org/I160013858"]},{"id":"https://openalex.org/I4210160382","display_name":"Istituto Nazionale di Fisica Nucleare, Sezione di Pisa","ror":"https://ror.org/05symbg58","country_code":"IT","type":"facility","lineage":["https://openalex.org/I160013858","https://openalex.org/I4210160382"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Cappuccio, Roberto","raw_affiliation_strings":["Department of Physical Sciences, Earth and Environment (DSFTA) , University of Siena , Siena , Italy","Istituto Nazionale di Fisica Nucleare (INFN) , Pisa , Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Physical Sciences, Earth and Environment (DSFTA) , University of Siena , Siena , Italy","institution_ids":["https://openalex.org/I102064193"]},{"raw_affiliation_string":"Istituto Nazionale di Fisica Nucleare (INFN) , Pisa , Italy","institution_ids":["https://openalex.org/I160013858","https://openalex.org/I4210160382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007451164","display_name":"Mario Onorato","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210122524","display_name":"IBM (Italy)","ror":"https://ror.org/02nc81e13","country_code":"IT","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210122524"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Onorato, Mario","raw_affiliation_strings":["IBM Consulting-Promontory , IBM Industry Diamond, Banking & Financial Markets , Milan , Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Consulting-Promontory , IBM Industry Diamond, Banking & Financial Markets , Milan , Italy","institution_ids":["https://openalex.org/I4210122524"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9937000274658203,"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":0.9937000274658203,"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/T12127","display_name":"Software System Performance and Reliability","score":0.002199999988079071,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10876","display_name":"Fault Detection and Control Systems","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/hybrid-quantum-classical-neural-networks","display_name":"hybrid quantum-classical neural networks","score":0.906000018119812},{"id":"https://openalex.org/keywords/quantum-graph-neural-networks","display_name":"quantum graph neural networks","score":0.9330000281333923},{"id":"https://openalex.org/keywords/root-cause-analysis","display_name":"root cause analysis","score":0.972000002861023},{"id":"https://openalex.org/keywords/variational-quantum-circuits","display_name":"variational quantum circuits","score":0.8059999942779541},{"id":"https://openalex.org/keywords/nisq-devices","display_name":"NISQ devices","score":0.7979999780654907},{"id":"https://openalex.org/keywords/fault-diagnosis","display_name":"fault diagnosis","score":0.30799999833106995}],"concepts":[{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.6385999917984009},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6169000267982483},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.539900004863739},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5005999803543091},{"id":"https://openalex.org/C70388272","wikidata":"https://www.wikidata.org/wiki/Q5968558","display_name":"IBM","level":2,"score":0.44760000705718994},{"id":"https://openalex.org/C130963320","wikidata":"https://www.wikidata.org/wiki/Q1401207","display_name":"Root cause analysis","level":2,"score":0.44530001282691956},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4203999936580658},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4146000146865845},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.41339999437332153},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4092999994754791},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.40709999203681946},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.39750000834465027},{"id":"https://openalex.org/C32848918","wikidata":"https://www.wikidata.org/wiki/Q845789","display_name":"Observable","level":2,"score":0.3862000107765198},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.38429999351501465},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.36239999532699585},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.34599998593330383},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3384000062942505},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.32710000872612},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.32030001282691956},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.3156000077724457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.314300000667572},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.2937000095844269},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2930000126361847},{"id":"https://openalex.org/C106937863","wikidata":"https://www.wikidata.org/wiki/Q7236518","display_name":"Power graph analysis","level":3,"score":0.27379998564720154},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.267300009727478},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.2662999927997589},{"id":"https://openalex.org/C32946077","wikidata":"https://www.wikidata.org/wiki/Q618079","display_name":"Network analysis","level":2,"score":0.2556000053882599},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.25440001487731934},{"id":"https://openalex.org/C118038509","wikidata":"https://www.wikidata.org/wiki/Q382970","display_name":"Projection pursuit","level":2,"score":0.2508000135421753}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2609.22822","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.22822","pdf_url":"https://arxiv.org/pdf/2609.22822","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.2609.22822","doi":"https://doi.org/10.48550/arxiv.2609.22822","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2609.22822","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:2609.22822","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.22822","pdf_url":"https://arxiv.org/pdf/2609.22822","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/W7214035857.pdf","grobid_xml":"https://content.openalex.org/works/W7214035857.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7170181406","https://openalex.org/W7136713376","https://openalex.org/W4406261216","https://openalex.org/W4396681779","https://openalex.org/W3163251562","https://openalex.org/W7172412226","https://openalex.org/W7162753926","https://openalex.org/W4286903922","https://openalex.org/W7154724765","https://openalex.org/W3194732195"],"abstract_inverted_index":{"We":[0],"present":[1],"Hybrid":[2],"Quantum":[3,24,51],"Root":[4],"Cause":[5],"Analysis":[6,99],"(HQ-RCA),":[7],"an":[8],"industrially":[9],"grounded":[10],"workflow":[11],"for":[12],"root":[13],"cause":[14],"analysis":[15],"in":[16,134],"banking":[17],"IT":[18,59],"operations,":[19],"built":[20],"on":[21,81,129,153,166],"a":[22,49,65,143,148],"hybrid":[23,70],"Graph":[25],"Neural":[26],"Network":[27],"(QGNN):":[28],"the":[29,69,76,87,103,109,121,130,135],"classical":[30,78],"backbone":[31],"of":[32,57,108],"DynEdge":[33,74,85],"(the":[34,126],"IceCube":[35],"neutrino-reconstruction":[36],"GNN,":[37],"which":[38,133],"we":[39,118],"call":[40],"standalone":[41,73,84],"DynEdge),":[42],"with":[43,116],"its":[44],"classification":[45],"head":[46],"replaced":[47],"by":[48,147],"Variational":[50],"Circuit":[52],"(VQC).":[53],"On":[54],"13":[55],"months":[56],"anonymised":[58],"data":[60],"(13k":[61],"alarm":[62],"clusters)":[63],"from":[64],"major":[66],"European":[67],"bank,":[68],"QGNN":[71],"matches":[72],"--":[75,80],"strongest":[77],"baseline":[79],"$F_1$,":[82],"while":[83],"leads":[86],"ranking":[88],"metrics.":[89],"A":[90],"readout-sensitivity":[91],"and":[92],"layout-robustness":[93],"study,":[94],"analysed":[95],"via":[96],"Dimensional":[97],"Expressivity":[98],"(DEA),":[100],"shows":[101,160],"that":[102],"effective":[104],"parameter":[105],"dimensionality":[106],"(rank)":[107],"quantum":[110],"observable":[111],"has":[112],"no":[113],"measurable":[114],"correlation":[115],"$F_1$;":[117],"therefore":[119],"keep":[120],"simplest":[122],"readout":[123,163],"$\\langle":[124],"Z_0\\rangle$":[125],"Pauli-$Z$":[127],"expectation":[128],"first":[131],"qubit),":[132],"deployed":[136],"layout":[137],"is":[138,164],"rank-1,":[139],"collapsing":[140],"optimisation":[141],"to":[142],"1-D":[144],"problem":[145],"solvable":[146],"gradient-free":[149,162],"grid":[150],"scan.":[151],"Execution":[152],"IBM":[154],"Heron":[155],"r2":[156],"(no":[157],"error":[158],"mitigation)":[159],"this":[161],"executable":[165],"NISQ":[167],"hardware":[168],"after":[169],"threshold":[170],"recalibration.":[171]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-09-23T00:00:00"}