{"id":"https://openalex.org/W7151584155","doi":"https://doi.org/10.48550/arxiv.2604.03360","title":"Characterizing and Benchmarking Dynamic Quantum Circuits","display_name":"Characterizing and Benchmarking Dynamic Quantum Circuits","publication_year":2026,"publication_date":"2026-04-03","ids":{"openalex":"https://openalex.org/W7151584155","doi":"https://doi.org/10.48550/arxiv.2604.03360"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.03360","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.03360","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.03360","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120709540","display_name":"Sumeet Shirgure","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shirgure, Sumeet","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020083572","display_name":"Efekan K\u00f6kc\u00fc","orcid":"https://orcid.org/0000-0002-7323-7274"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K\u00f6kc\u00fc, Efekan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106408685","display_name":"Anupam Mitra","orcid":"https://orcid.org/0009-0004-6711-2477"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mitra, Anupam","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133139550","display_name":"Wibe Albert de Jong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"de Jong, Wibe Albert","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023233400","display_name":"Costin Iancu","orcid":"https://orcid.org/0000-0001-7845-2427"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Iancu, Costin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5005156188","display_name":"Siyuan Niu","orcid":"https://orcid.org/0000-0003-4683-381X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Niu, Siyuan","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":0.9803000092506409,"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":0.9803000092506409,"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/T10363","display_name":"Low-power high-performance VLSI design","score":0.002099999925121665,"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"}},{"id":"https://openalex.org/T13182","display_name":"Quantum-Dot Cellular Automata","score":0.0020000000949949026,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/benchmarking","display_name":"Benchmarking","score":0.732200026512146},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6790000200271606},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.6489999890327454},{"id":"https://openalex.org/keywords/quantum-circuit","display_name":"Quantum circuit","score":0.5830000042915344},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5084999799728394},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5031999945640564},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.4733000099658966}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7764000296592712},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.732200026512146},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6790000200271606},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.6489999890327454},{"id":"https://openalex.org/C124148022","wikidata":"https://www.wikidata.org/wiki/Q2122210","display_name":"Quantum circuit","level":5,"score":0.5830000042915344},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5084999799728394},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5031999945640564},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.47699999809265137},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.4733000099658966},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.38850000500679016},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.34439998865127563},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3082999885082245},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.30379998683929443},{"id":"https://openalex.org/C137019171","wikidata":"https://www.wikidata.org/wiki/Q2623817","display_name":"Quantum algorithm","level":3,"score":0.2888000011444092},{"id":"https://openalex.org/C190560348","wikidata":"https://www.wikidata.org/wiki/Q3245116","display_name":"Circuit design","level":2,"score":0.2766000032424927},{"id":"https://openalex.org/C58849907","wikidata":"https://www.wikidata.org/wiki/Q2118982","display_name":"Quantum gate","level":4,"score":0.273499995470047},{"id":"https://openalex.org/C530198007","wikidata":"https://www.wikidata.org/wiki/Q80831","display_name":"Integrated circuit","level":2,"score":0.2734000086784363},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.25519999861717224}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.03360","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.03360","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.03360","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.03360","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Dynamic":[0],"quantum":[1,19,23,28,129,208],"circuits":[2,42,60,75,201],"with":[3],"mid-circuit":[4],"measurements":[5],"(MCMs)":[6],"and":[7,22,35,76,89,107,131,136,160,163,181,193,198],"feed-forward":[8,36],"operations":[9],"play":[10],"a":[11,49,53,87,98,109],"crucial":[12],"role":[13],"in":[14,27],"various":[15,105],"applications,":[16],"such":[17],"as":[18,66],"error":[20],"correction":[21],"algorithms.":[24],"With":[25],"advancements":[26],"hardware":[29,147,179],"enabling":[30],"the":[31,38,117,132,187],"implementation":[32],"of":[33,40,100,112,119,189],"MCM":[34],"loops,":[37],"use":[39],"dynamic":[41,59,82,94,101,121,190,200],"has":[43],"become":[44],"increasingly":[45],"prevalent.":[46],"There":[47],"is":[48],"significant":[50],"need":[51],"for":[52,58,73,93,142,196],"benchmarking":[54,68,91],"framework":[55,92,185],"specially":[56],"designed":[57,71],"to":[61,81,115,154,202],"capture":[62],"their":[63],"unique":[64],"properties,":[65],"current":[67],"tools":[69],"are":[70,175],"primarily":[72],"unitary":[74],"cannot":[77],"be":[78],"trivially":[79],"extended":[80],"circuits.":[83,95,122],"We":[84,96,123,150],"propose":[85,108,137],"dynamarq,":[86],"scalable":[88],"hardware-agnostic":[90],"collect":[97],"set":[99,111],"circuit":[102,113,158,191],"benchmarks":[103],"spanning":[104],"applications":[106],"broad":[110],"features":[114,159],"characterize":[116],"structure":[118],"these":[120],"run":[124],"them":[125],"on":[126,146,207],"two":[127],"IBM":[128],"processors":[130],"Quantinuum":[133],"Helios-1E":[134],"emulator,":[135],"scalable,":[138],"application-dependent":[139],"fidelity":[140,161,167,206],"scores":[141],"each":[143],"benchmark":[144],"based":[145],"execution":[148,205],"results.":[149],"perform":[151],"statistical":[152],"modeling":[153],"identify":[155],"correlations":[156],"between":[157],"scores,":[162],"demonstrate":[164],"highly":[165],"accurate":[166],"prediction":[168],"using":[169],"our":[170],"model.":[171],"Our":[172,184],"model":[173],"parameters":[174],"also":[176],"transferable":[177],"across":[178],"backends":[180],"calibration":[182],"cycles.":[183],"facilitates":[186],"understanding":[188],"structures":[192],"provides":[194],"insights":[195],"designing":[197],"optimizing":[199],"achieve":[203],"high":[204],"hardware.":[209]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-08T00:00:00"}
