{"id":"https://openalex.org/W4417167883","doi":"https://doi.org/10.48550/arxiv.2504.20212","title":"Estimating decoding graphs and hypergraphs of memory QEC experiments","display_name":"Estimating decoding graphs and hypergraphs of memory QEC experiments","publication_year":2025,"publication_date":"2025-04-28","ids":{"openalex":"https://openalex.org/W4417167883","doi":"https://doi.org/10.48550/arxiv.2504.20212"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2504.20212","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2504.20212","pdf_url":"https://arxiv.org/pdf/2504.20212","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/2504.20212","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048551648","display_name":"Evangelia Takou","orcid":"https://orcid.org/0000-0002-9963-2205","observed_orcids":["https://orcid.org/0000-0002-9963-2205"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Takou, Evangelia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5087628620","display_name":"Kenneth R. Brown","orcid":"https://orcid.org/0000-0001-7716-1425","observed_orcids":["https://orcid.org/0000-0001-7716-1425","https://orcid.org/0000-0001-5559-3593"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Brown, Kenneth R.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9984999895095825,"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":0.9984999895095825,"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/T10020","display_name":"Quantum Information and Cryptography","score":0.0005000000237487257,"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":0.00019999999494757503,"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/quantum-error-correction","display_name":"quantum error correction","score":0.9599999785423279},{"id":"https://openalex.org/keywords/hypergraphs","display_name":"hypergraphs","score":0.8069999814033508},{"id":"https://openalex.org/keywords/repetition-codes","display_name":"repetition codes","score":0.8299999833106995},{"id":"https://openalex.org/keywords/surface-code","display_name":"surface code","score":0.9769999980926514},{"id":"https://openalex.org/keywords/color-codes","display_name":"color codes","score":0.9010000228881836}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6449000239372253},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5982000231742859},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5827000141143799},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5597000122070312},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.5514000058174133},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5324000120162964},{"id":"https://openalex.org/C51003876","wikidata":"https://www.wikidata.org/wiki/Q1536431","display_name":"Quantum error correction","level":4,"score":0.5223000049591064},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.40139999985694885},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.3873000144958496},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.35420000553131104},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.33739998936653137},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.325300008058548},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.299699991941452},{"id":"https://openalex.org/C169699857","wikidata":"https://www.wikidata.org/wiki/Q2122243","display_name":"Quantum information","level":3,"score":0.2930000126361847},{"id":"https://openalex.org/C111996192","wikidata":"https://www.wikidata.org/wiki/Q7269075","display_name":"Quantum noise","level":3,"score":0.2921999990940094},{"id":"https://openalex.org/C2776141515","wikidata":"https://www.wikidata.org/wiki/Q1274479","display_name":"Repetition (rhetorical device)","level":2,"score":0.28690001368522644},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.28630000352859497},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.28299999237060547},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.28029999136924744},{"id":"https://openalex.org/C203087015","wikidata":"https://www.wikidata.org/wiki/Q378201","display_name":"Qubit","level":3,"score":0.27489998936653137},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.27070000767707825},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.25200000405311584}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2504.20212","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2504.20212","pdf_url":"https://arxiv.org/pdf/2504.20212","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.2504.20212","doi":"https://doi.org/10.48550/arxiv.2504.20212","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2504.20212","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":"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":"pmh:oai:arXiv.org:2504.20212","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2504.20212","pdf_url":"https://arxiv.org/pdf/2504.20212","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":[],"sustainable_development_goals_aurora":[],"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":{"Characterizing":[0],"the":[1,21,25,34,52,59,71,75,83,101,113,130,154,162,166,180],"error":[2,17,65,95,132,163,175],"sources":[3],"of":[4,24,38,74,165],"quantum":[5,13,39],"devices":[6],"is":[7,67],"essential":[8],"for":[9,69,134],"building":[10],"reliable":[11],"large-scale":[12],"architectures":[14],"and":[15,46,116,160],"tailoring":[16],"correction":[18],"codes":[19,110,141,144],"to":[20,51,108,128,152,157,182],"noise":[22,35,92,183],"profile":[23],"devices.":[26],"Tomography":[27],"techniques":[28],"can":[29],"provide":[30],"detailed":[31],"information":[32,60,81],"on":[33,93],"or":[36,136,142],"quality":[37],"states":[40],"but":[41],"are":[42,126],"typically":[43,185],"both":[44],"computationally":[45],"experimentally":[47],"intensive":[48],"with":[49],"respect":[50],"system's":[53],"size.":[54],"For":[55,139],"QEC":[56],"experiments,":[57],"however,":[58],"captured":[61],"by":[62],"a":[63],"detector":[64,94,131],"model":[66,133],"sufficient":[68],"extracting":[70],"success":[72],"rate":[73],"experiment,":[76],"as":[77,79,112],"well":[78],"some":[80],"about":[82],"underlying":[84],"noise.":[85],"In":[86],"this":[87,106],"work,":[88],"we":[89,149,169,178],"estimate":[90],"Pauli":[91],"models,":[96],"including":[97],"hypergraphs,":[98],"using":[99],"only":[100],"syndrome":[102,122,147],"statistics.":[103],"We":[104],"apply":[105],"method":[107,156],"well-known":[109],"such":[111],"repetition,":[114],"surface,":[115],"2D":[117],"color":[118,140],"codes.":[119,138],"Under":[120],"bare-ancilla":[121],"extraction,":[123,148],"two-point":[124],"correlations":[125],"enough":[127],"reconstruct":[129],"repetition":[135,143],"surface":[137],"under":[145],"Steane-style":[146],"show":[150],"how":[151],"extend":[153],"estimation":[155],"multi-point":[158],"correlators":[159],"extract":[161],"rates":[164],"hypergraphs.":[167],"Finally,":[168],"find":[170],"an":[171],"increase":[172],"in":[173,187],"logical":[174],"suppression":[176],"when":[177],"calibrate":[179],"decoder":[181],"fluctuations":[184],"present":[186],"experiments.":[188]},"counts_by_year":[],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2025-10-10T00:00:00"}
