{"id":"https://openalex.org/W7140121028","doi":"https://doi.org/10.48550/arxiv.2603.19805","title":"Quantifying Gate Contribution in Quantum Feature Maps for Scalable Circuit Optimization","display_name":"Quantifying Gate Contribution in Quantum Feature Maps for Scalable Circuit Optimization","publication_year":2026,"publication_date":"2026-03-20","ids":{"openalex":"https://openalex.org/W7140121028","doi":"https://doi.org/10.48550/arxiv.2603.19805"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.19805","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.19805","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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.19805","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5130357555","display_name":"F. Rodr\u00edguez-D\u00edaz","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Rodr\u00edguez-D\u00edaz, F.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130359239","display_name":"D. Guti\u00e9rrez-Avil\u00e9s","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guti\u00e9rrez-Avil\u00e9s, D.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130393682","display_name":"A. Troncoso","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Troncoso, A.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5130381796","display_name":"F. Mart\u00ednez-\u00c1lvarez","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mart\u00ednez-\u00c1lvarez, F.","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5130357555"],"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":0.9613999724388123,"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":0.9613999724388123,"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":0.005200000014156103,"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"}},{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.003800000064074993,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/emulation","display_name":"Emulation","score":0.6146000027656555},{"id":"https://openalex.org/keywords/quantum-computer","display_name":"Quantum computer","score":0.5838000178337097},{"id":"https://openalex.org/keywords/quantum-circuit","display_name":"Quantum circuit","score":0.5314000248908997},{"id":"https://openalex.org/keywords/matrix-multiplication","display_name":"Matrix multiplication","score":0.5152000188827515},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5149000287055969},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5047000050544739},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.4713999927043915},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.44510000944137573},{"id":"https://openalex.org/keywords/quantum-gate","display_name":"Quantum gate","score":0.3953999876976013}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6407999992370605},{"id":"https://openalex.org/C149810388","wikidata":"https://www.wikidata.org/wiki/Q5374873","display_name":"Emulation","level":2,"score":0.6146000027656555},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.5838000178337097},{"id":"https://openalex.org/C124148022","wikidata":"https://www.wikidata.org/wiki/Q2122210","display_name":"Quantum circuit","level":5,"score":0.5314000248908997},{"id":"https://openalex.org/C17349429","wikidata":"https://www.wikidata.org/wiki/Q1049914","display_name":"Matrix multiplication","level":3,"score":0.5152000188827515},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5149000287055969},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5047000050544739},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.4713999927043915},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4569000005722046},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.44510000944137573},{"id":"https://openalex.org/C58849907","wikidata":"https://www.wikidata.org/wiki/Q2118982","display_name":"Quantum gate","level":4,"score":0.3953999876976013},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.3898000121116638},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.33869999647140503},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.33390000462532043},{"id":"https://openalex.org/C70388272","wikidata":"https://www.wikidata.org/wiki/Q5968558","display_name":"IBM","level":2,"score":0.32910001277923584},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3199999928474426},{"id":"https://openalex.org/C137019171","wikidata":"https://www.wikidata.org/wiki/Q2623817","display_name":"Quantum algorithm","level":3,"score":0.3084000051021576},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.3075000047683716},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2822999954223633},{"id":"https://openalex.org/C530198007","wikidata":"https://www.wikidata.org/wiki/Q80831","display_name":"Integrated circuit","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C10418432","wikidata":"https://www.wikidata.org/wiki/Q560370","display_name":"AND gate","level":3,"score":0.2752000093460083},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.27230000495910645},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.26969999074935913},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.26330000162124634},{"id":"https://openalex.org/C51255310","wikidata":"https://www.wikidata.org/wiki/Q1163016","display_name":"Tensor product","level":2,"score":0.26010000705718994},{"id":"https://openalex.org/C182953411","wikidata":"https://www.wikidata.org/wiki/Q917713","display_name":"Controlled NOT gate","level":5,"score":0.2526000142097473},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.2524000108242035}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.19805","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.19805","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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.19805","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.19805","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":"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":{"Quantum":[0,141],"machine":[1,106,136],"learning":[2,107,137],"offers":[3],"promising":[4],"advantages":[5],"for":[6,69,79],"classification":[7,130],"tasks,":[8],"but":[9],"noise,":[10],"decoherence,":[11],"and":[12,30,64,78,90,109,116,140,157,179,198,209],"connectivity":[13],"constraints":[14],"in":[15,144,168,206,212,231,236],"current":[16],"devices":[17],"continue":[18],"to":[19],"limit":[20],"the":[21,55,180,221,232],"efficient":[22],"execution":[23,146],"of":[24,57,165,182],"feature":[25,44,169],"map-based":[26],"circuits.":[27,92],"Gate":[28],"Assessment":[29],"Threshold":[31],"Evaluation":[32],"(GATE)":[33],"is":[34,67,126,171,177,185],"presented":[35],"as":[36],"a":[37,47,97,117],"circuit":[38,207],"optimization":[39],"methodology":[40,125],"that":[41],"reduces":[42],"quantum":[43,74,105,135,160],"maps":[45,170],"using":[46,132,187],"novel":[48],"gate":[49,59,166],"significance":[50],"index.":[51],"This":[52],"index":[53,183],"quantifies":[54],"relevance":[56],"each":[58],"by":[60],"combining":[61],"fidelity,":[62],"entanglement,":[63],"sensitivity.":[65],"It":[66],"formulated":[68],"both":[70],"simulator/emulator":[71],"environments,":[72],"where":[73,82],"states":[75],"are":[76,85],"accessible,":[77],"real":[80,158],"hardware,":[81],"these":[83],"quantities":[84],"estimated":[86],"from":[87,153],"measurement":[88],"results":[89,202],"auxiliary":[91],"The":[93,124,162,201],"approach":[94],"iteratively":[95],"scans":[96],"threshold":[98],"range,":[99],"eliminates":[100],"low-contribution":[101],"gates,":[102],"generates":[103],"optimized":[104],"models,":[108,138],"ranks":[110],"them":[111],"based":[112,189],"on":[113,128,190],"accuracy,":[114,219],"runtime,":[115],"balanced":[118],"performance":[119],"criterion":[120],"before":[121],"final":[122],"testing.":[123],"evaluated":[127,186],"real-world":[129,199],"datasets":[131],"two":[133],"representative":[134],"PegasosQSVM":[139],"Neural":[142],"Network,":[143],"three":[145],"scenarios:":[147],"noise-free":[148],"simulation,":[149],"noisy":[150],"emulation":[151],"derived":[152],"an":[154],"IBM":[155,159],"backend,":[156],"hardware.":[161],"structural":[163],"impact":[164],"removal":[167],"examined,":[172],"compatibility":[173],"with":[174,220],"noise-mitigation":[175],"techniques":[176],"studied,":[178],"scalability":[181],"computation":[184],"approaches":[188],"density":[191],"matrices,":[192],"matrix":[193],"product":[194],"states,":[195],"tensor":[196],"networks,":[197],"devices.":[200],"show":[203],"consistent":[204],"reductions":[205],"size":[208],"runtime":[210],"and,":[211],"many":[213],"cases,":[214],"preserved":[215],"or":[216,235],"improved":[217],"predictive":[218],"best":[222],"trade-offs":[223],"typically":[224],"occurring":[225],"at":[226],"intermediate":[227],"thresholds":[228],"rather":[229],"than":[230],"baseline":[233],"circuits":[234],"those":[237],"compressed":[238],"more":[239],"aggressively.":[240]},"counts_by_year":[],"updated_date":"2026-03-24T06:04:31.470712","created_date":"2026-03-24T00:00:00"}