{"id":"https://openalex.org/W7204199033","doi":"https://doi.org/10.3390/electronics15173817","title":"Transferability of Quantum Feature Maps from Simulation to Hardware in Healthcare Data","display_name":"Transferability of Quantum Feature Maps from Simulation to Hardware in Healthcare Data","publication_year":2026,"publication_date":"2026-08-25","ids":{"openalex":"https://openalex.org/W7204199033","doi":"https://doi.org/10.3390/electronics15173817"},"language":"en","primary_location":{"id":"doi:10.3390/electronics15173817","doi":"https://doi.org/10.3390/electronics15173817","is_oa":true,"landing_page_url":"https://doi.org/10.3390/electronics15173817","pdf_url":null,"source":{"id":"https://openalex.org/S4210202905","display_name":"Electronics","issn_l":"2079-9292","issn":["2079-9292"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","norway-1","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronics","raw_type":"journal-article"},"parent_works":[],"lineage":["https://openalex.org/W7204199033"],"child_works_count":0,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/electronics15173817","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090107767","display_name":"Muhammad Minoar Hossain","orcid":"https://orcid.org/0000-0002-3936-5539","observed_orcids":["https://orcid.org/0000-0002-3936-5539"]},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Muhammad Minoar Hossain","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431, USA","institution_ids":["https://openalex.org/I63772739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111237164","display_name":"Safiul Haque Chowdhury","orcid":"https://orcid.org/0009-0003-7098-2476","observed_orcids":["https://orcid.org/0009-0003-7098-2476"]},"institutions":[{"id":"https://openalex.org/I184763120","display_name":"Bangladesh University","ror":"https://ror.org/03zta4r50","country_code":"BD","type":"education","lineage":["https://openalex.org/I184763120"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Safiul Haque Chowdhury","raw_affiliation_strings":["Department of Computer Science and Engineering, Bangladesh University, Dhaka 1207, Bangladesh"],"raw_orcid":"https://orcid.org/0009-0003-7098-2476","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Bangladesh University, Dhaka 1207, Bangladesh","institution_ids":["https://openalex.org/I184763120"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136701877","display_name":"Md. Hasibul Hassan Himal","orcid":"https://orcid.org/0009-0007-3613-5408","observed_orcids":["https://orcid.org/0009-0007-3613-5408"]},"institutions":[{"id":"https://openalex.org/I184763120","display_name":"Bangladesh University","ror":"https://ror.org/03zta4r50","country_code":"BD","type":"education","lineage":["https://openalex.org/I184763120"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md. Hasibul Hassan Himal","raw_affiliation_strings":["Department of Computer Science and Engineering, Bangladesh University, Dhaka 1207, Bangladesh"],"raw_orcid":"https://orcid.org/0009-0007-3613-5408","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Bangladesh University, Dhaka 1207, Bangladesh","institution_ids":["https://openalex.org/I184763120"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024203425","display_name":"Arslan Munir","orcid":"https://orcid.org/0000-0002-3126-8945","observed_orcids":["https://orcid.org/0000-0002-3126-8945"]},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Arslan Munir","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431, USA"],"raw_orcid":"https://orcid.org/0000-0002-3126-8945","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431, USA","institution_ids":["https://openalex.org/I63772739"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5024203425"],"corresponding_institution_ids":["https://openalex.org/I63772739"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2896},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2896},"fwci":4.1854,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.93728886,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"15","issue":"17","first_page":"3817","last_page":"3817"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9994999766349792,"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":0.9994999766349792,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.0,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11804","display_name":"Quantum many-body systems","score":0.0,"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-feature-maps","display_name":"quantum feature maps","score":0.9850000143051147},{"id":"https://openalex.org/keywords/quantum-machine-learning","display_name":"quantum machine learning","score":0.9309999942779541},{"id":"https://openalex.org/keywords/nisq-devices","display_name":"NISQ devices","score":0.8159999847412109},{"id":"https://openalex.org/keywords/noisy-quantum-simulation","display_name":"noisy quantum simulation","score":0.546999990940094},{"id":"https://openalex.org/keywords/mammographic-mass-classification","display_name":"mammographic mass classification","score":0.7279999852180481},{"id":"https://openalex.org/keywords/anemia-diagnosis","display_name":"anemia diagnosis","score":0.8309999704360962},{"id":"https://openalex.org/keywords/diabetic-retinopathy","display_name":"diabetic retinopathy","score":0.9020000100135803},{"id":"https://openalex.org/keywords/ibm-heron-r2","display_name":"IBM Heron r2","score":0.6430000066757202},{"id":"https://openalex.org/keywords/quantum-encoding","display_name":"quantum encoding","score":0.5640000104904175},{"id":"https://openalex.org/keywords/xgboost","display_name":"XGBoost","score":0.5400000214576721},{"id":"https://openalex.org/keywords/health-data","display_name":"health data","score":0.5960000157356262}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6736000180244446},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6478999853134155},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5163999795913696},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.41920000314712524},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.41830000281333923},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.38339999318122864},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31119999289512634},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3102000057697296},{"id":"https://openalex.org/C137019171","wikidata":"https://www.wikidata.org/wiki/Q2623817","display_name":"Quantum algorithm","level":3,"score":0.30550000071525574},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.30230000615119934},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28850001096725464},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.2881999909877777},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.2800999879837036},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.275299996137619},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2685999870300293},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.26460000872612}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3390/electronics15173817","doi":"https://doi.org/10.3390/electronics15173817","is_oa":true,"landing_page_url":"https://doi.org/10.3390/electronics15173817","pdf_url":null,"source":{"id":"https://openalex.org/S4210202905","display_name":"Electronics","issn_l":"2079-9292","issn":["2079-9292"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","norway-1","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3390/electronics15173817","doi":"https://doi.org/10.3390/electronics15173817","is_oa":true,"landing_page_url":"https://doi.org/10.3390/electronics15173817","pdf_url":null,"source":{"id":"https://openalex.org/S4210202905","display_name":"Electronics","issn_l":"2079-9292","issn":["2079-9292"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","norway-1","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronics","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1976526581","https://openalex.org/W2140519023","https://openalex.org/W2987201163","https://openalex.org/W3164915179","https://openalex.org/W4210274511","https://openalex.org/W4236122619","https://openalex.org/W4312075150","https://openalex.org/W4366256817","https://openalex.org/W4385730417","https://openalex.org/W4386480703","https://openalex.org/W4400267590","https://openalex.org/W4402397238","https://openalex.org/W4408089259","https://openalex.org/W4410034945","https://openalex.org/W4410252761","https://openalex.org/W4411913860","https://openalex.org/W4412177632","https://openalex.org/W4414137615","https://openalex.org/W4414376438","https://openalex.org/W4415971132","https://openalex.org/W7128527664","https://openalex.org/W7133297272","https://openalex.org/W7163165408"],"related_works":["https://openalex.org/W7162006969","https://openalex.org/W7160397427","https://openalex.org/W7211915971","https://openalex.org/W7169671707","https://openalex.org/W4225353299","https://openalex.org/W3137915135","https://openalex.org/W7154736750","https://openalex.org/W7055614673","https://openalex.org/W7127624049","https://openalex.org/W7168242429"],"abstract_inverted_index":{"Quantum":[0],"machine":[1],"learning":[2],"is":[3],"often":[4],"proposed":[5],"for":[6,120,129,148,163],"richer":[7],"feature":[8,72,83,201],"representations,":[9],"yet":[10,212],"most":[11],"evidence":[12],"rests":[13],"on":[14,37,88,207],"idealized":[15],"simulation":[16,184],"rather":[17],"than":[18],"real":[19,96,186],"noisy":[20],"intermediate-scale":[21],"quantum":[22,75,117,187,200],"(NISQ)":[23],"hardware.":[24],"This":[25],"research":[26],"presents":[27],"a":[28,59,91,124,144,191,214],"controlled":[29],"comparison":[30],"of":[31],"classical":[32,110,216],"and":[33,46,58,80,94,151,160],"quantum-enhanced":[34],"diagnostic":[35],"pipelines":[36,50],"three":[38],"clinical":[39],"binary":[40],"classification":[41],"tasks:":[42],"Mammographic":[43,150,165],"Mass,":[44],"Anemia,":[45],"Diabetic":[47,152],"Retinopathy.":[48],"All":[49],"share":[51],"standardized":[52],"preprocessing,":[53],"principal":[54],"component":[55],"analysis":[56],"(PCA),":[57],"fixed":[60],"extreme":[61],"gradient":[62],"boosting":[63],"(XGBoost)":[64],"classifier,":[65],"so":[66],"differences":[67],"arise":[68],"only":[69],"from":[70,183],"the":[71,81,95,109,112,116,130,137,140,149,158,164,168,175,178,181,204],"representation.":[73],"Four":[74],"encodings":[76,162],"(angle,":[77],"phase,":[78],"basis,":[79],"ZZ":[82],"map)":[84],"are":[85,157],"each":[86],"run":[87],"two":[89],"backends:":[90],"noiseless":[92],"simulator":[93],"IBM":[97],"Heron":[98],"r2":[99],"processor":[100],"(156":[101],"qubits).":[102],"Across":[103],"nine":[104],"performance":[105,113,146,193],"metrics,":[106],"compared":[107,135,173],"with":[108,123,136,174],"pipeline,":[111,139],"decreases":[114],"in":[115,190],"hardware":[118,141,169,188,209],"execution":[119,142],"all":[121],"datasets,":[122],"more":[125],"significant":[126],"reduction":[127],"observed":[128],"Anemia":[131,179],"dataset.":[132],"In":[133],"contrast,":[134],"simulated":[138],"shows":[143],"slight":[145],"decrease":[147],"Retinopathy":[153],"datasets.":[154],"The":[155],"exceptions":[156],"angle":[159],"phase":[161],"dataset,":[166,180],"where":[167],"result":[170],"improves":[171],"slightly":[172],"simulator.":[176],"For":[177],"transition":[182],"to":[185],"results":[189],"considerable":[192],"reduction.":[194],"These":[195],"findings":[196],"show":[197],"that":[198],"current":[199],"maps":[202],"through":[203],"encode\u2013measure\u2013boost":[205],"pipeline":[206],"NISQ":[208],"do":[210],"not":[211],"outperform":[213],"well-designed":[215],"pipeline.":[217]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2026-08-26T00:00:00"}
