{"id":"https://openalex.org/W7212128317","doi":"https://doi.org/10.5281/zenodo.22687314","title":"External Quantum Reservoir Guidance for Complex AI-Assistant Tasks","display_name":"External Quantum Reservoir Guidance for Complex AI-Assistant Tasks","publication_year":2026,"publication_date":"2026-09-10","ids":{"openalex":"https://openalex.org/W7212128317","doi":"https://doi.org/10.5281/zenodo.22687314"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.22687314","doi":"https://doi.org/10.5281/zenodo.22687314","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22687314","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"Preprint"},"volume":null,"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.22687314","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5148128722","display_name":"Maksym Husarov","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Husarov, Maksym","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5148128722"],"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/T13904","display_name":"Artificial Intelligence Applications","score":0.24619999527931213,"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/T13904","display_name":"Artificial Intelligence Applications","score":0.24619999527931213,"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/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.13109999895095825,"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/T10028","display_name":"Topic Modeling","score":0.08749999850988388,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/response-quality-evaluation","display_name":"response quality evaluation","score":0.3709999918937683},{"id":"https://openalex.org/keywords/token-usage","display_name":"token usage","score":0.5820000171661377},{"id":"https://openalex.org/keywords/response-validation","display_name":"response validation","score":0.42500001192092896},{"id":"https://openalex.org/keywords/user-preferences","display_name":"user preferences","score":0.35499998927116394}],"concepts":[{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.6952000260353088},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6245999932289124},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.5960999727249146},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4562000036239624},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.4341000020503998},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.398499995470047},{"id":"https://openalex.org/C39896193","wikidata":"https://www.wikidata.org/wiki/Q380344","display_name":"Descriptive statistics","level":2,"score":0.3783000111579895},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.37549999356269836},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.3424000144004822},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.3091000020503998},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28790000081062317},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.2800000011920929},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.27090001106262207},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2619999945163727},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2578999996185303},{"id":"https://openalex.org/C47822265","wikidata":"https://www.wikidata.org/wiki/Q854457","display_name":"Complex system","level":2,"score":0.25679999589920044},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2531000077724457}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.22687314","doi":"https://doi.org/10.5281/zenodo.22687314","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22687314","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"Preprint"},{"id":"doi:10.5281/zenodo.22687315","doi":"https://doi.org/10.5281/zenodo.22687315","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22687315","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"Preprint"}],"best_oa_location":{"id":"doi:10.5281/zenodo.22687314","doi":"https://doi.org/10.5281/zenodo.22687314","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22687314","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"Preprint"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"score":0.7625014185905457,"display_name":"Peace, justice, and strong institutions","id":"https://metadata.un.org/sdg/16"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"External":[0],"Quantum":[1],"Reservoir":[2],"Assist":[3],"is":[4],"designed":[5],"to":[6],"help":[7],"an":[8,40],"AI":[9],"assistant":[10],"identify":[11],"the":[12,57,71,188],"core":[13],"of":[14,49],"a":[15,20,29,177],"difficult":[16],"request":[17],"and":[18,67,88,110,129,162,184,191],"organize":[19],"useful":[21],"response":[22,45,171],"by":[23,127,135],"adding":[24],"dynamically":[25],"generated":[26],"guidance":[27,146],"through":[28],"REST":[30],"or":[31,176],"MCP":[32],"integration.":[33],"This":[34],"study":[35,166],"evaluates":[36],"final":[37],"answers":[38,75,82],"from":[39,47],"archived":[41],"experiment":[42],"using":[43],"one":[44],"pair":[46],"each":[48],"50":[50],"synthetic":[51],"scenario":[52],"families.":[53],"Thirty-nine":[54],"pairs":[55],"formed":[56],"primary":[58,72],"complex":[59,154],"decision-support":[60],"group,":[61,73],"while":[62,113,157],"eleven":[63],"provided":[64],"routine,":[65],"constraint-challenge,":[66],"technical-explanation":[68],"controls.":[69],"Within":[70],"reservoir-assisted":[74],"were":[76,106],"preferred":[77],"in":[78,83,108,119],"17":[79],"cases,":[80],"baseline":[81],"8,":[84],"with":[85],"13":[86],"ties":[87],"1":[89],"unclear":[90],"case.":[91],"The":[92,102,138,165,180],"tie-adjusted":[93],"preference":[94],"rate":[95],"was":[96],"61.8%":[97],"(95%":[98],"family-bootstrap":[99],"interval:":[100],"48.7\u201373.7%).":[101],"clearest":[103],"descriptive":[104],"gains":[105],"observed":[107],"actionability":[109],"validation":[111],"guidance,":[112],"major-error":[114],"flags":[115],"occurred":[116],"equally":[117],"often":[118],"both":[120],"conditions.":[121],"Assistance":[122],"increased":[123],"total":[124],"token":[125],"usage":[126],"32.9%":[128],"median":[130],"paired":[131],"estimated":[132],"end-to-end":[133],"time":[134],"7.51":[136],"seconds.":[137],"results":[139],"provide":[140],"directional":[141],"evidence":[142],"that":[143],"external":[144],"reservoir":[145],"can":[147],"improve":[148],"practical":[149],"decision":[150],"support":[151],"for":[152],"selected":[153],"AI-assistant":[155],"tasks,":[156],"also":[158],"demonstrating":[159],"substantial":[160],"uncertainty":[161],"operational":[163],"overhead.":[164],"does":[167],"not":[168],"establish":[169],"general":[170],"superiority,":[172],"reduced":[173],"factual-error":[174],"rates,":[175],"quantum-specific":[178],"advantage.":[179],"accompanying":[181],"minimized":[182],"dataset":[183],"executable":[185],"analysis":[186],"reproduce":[187],"reported":[189],"statistics":[190],"figures":[192],"without":[193],"additional":[194],"model":[195],"calls.":[196]},"counts_by_year":[],"updated_date":"2026-10-07T09:51:55.459714","created_date":"2026-09-11T00:00:00"}
