{"id":"https://openalex.org/W7136700216","doi":"https://doi.org/10.48550/arxiv.2603.12540","title":"Embedded Quantum Machine Learning in Embedded Systems: Feasibility, Hybrid Architectures, and Quantum Co-Processors","display_name":"Embedded Quantum Machine Learning in Embedded Systems: Feasibility, Hybrid Architectures, and Quantum Co-Processors","publication_year":2026,"publication_date":"2026-03-13","ids":{"openalex":"https://openalex.org/W7136700216","doi":"https://doi.org/10.48550/arxiv.2603.12540"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.12540","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.12540","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,"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.2603.12540","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005599812","display_name":"Somdip Dey","orcid":"https://orcid.org/0000-0001-6161-4637"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dey, Somdip","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5129591095","display_name":"Syed Muhammad Raza","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Raza, Syed Muhammad","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":0.43639999628067017,"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":0.43639999628067017,"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/T11005","display_name":"Radiation Effects in Electronics","score":0.1103999987244606,"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/T12122","display_name":"Physical Unclonable Functions (PUFs) and Hardware Security","score":0.07440000027418137,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/quantum","display_name":"Quantum","score":0.5722000002861023},{"id":"https://openalex.org/keywords/quantum-machine-learning","display_name":"Quantum machine learning","score":0.5665000081062317},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.5131000280380249},{"id":"https://openalex.org/keywords/quantum-computer","display_name":"Quantum computer","score":0.4578999876976013},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.4449999928474426},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.40720000863075256},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.3732999861240387},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.34540000557899475},{"id":"https://openalex.org/keywords/subroutine","display_name":"Subroutine","score":0.3418999910354614}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7278000116348267},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.5722000002861023},{"id":"https://openalex.org/C2779094486","wikidata":"https://www.wikidata.org/wiki/Q18811578","display_name":"Quantum machine learning","level":4,"score":0.5665000081062317},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.5131000280380249},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.4578999876976013},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.4449999928474426},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.40720000863075256},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.3732999861240387},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3467999994754791},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.34540000557899475},{"id":"https://openalex.org/C96147967","wikidata":"https://www.wikidata.org/wiki/Q190686","display_name":"Subroutine","level":2,"score":0.3418999910354614},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.34139999747276306},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.33739998936653137},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.33079999685287476},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.32429999113082886},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.3149000108242035},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3061000108718872},{"id":"https://openalex.org/C2778926657","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum system","level":3,"score":0.30230000615119934},{"id":"https://openalex.org/C24858836","wikidata":"https://www.wikidata.org/wiki/Q844718","display_name":"Theory of computation","level":2,"score":0.295199990272522},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.29420000314712524},{"id":"https://openalex.org/C137019171","wikidata":"https://www.wikidata.org/wiki/Q2623817","display_name":"Quantum algorithm","level":3,"score":0.29330000281333923},{"id":"https://openalex.org/C81988521","wikidata":"https://www.wikidata.org/wiki/Q676838","display_name":"Control unit","level":2,"score":0.2881999909877777},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.28619998693466187},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2840000092983246},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.27790001034736633},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2718999981880188},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.2572000026702881}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.12540","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.12540","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,"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.2603.12540","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.12540","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,"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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Embedded":[0],"quantum":[1,8,56,61,67,79],"machine":[2,9,92],"learning":[3,10,93],"(EQML)":[4],"seeks":[5],"to":[6,13,58,136],"bring":[7],"(QML)":[11],"capabilities":[12],"resource-constrained":[14],"edge":[15,167],"platforms":[16],"such":[17],"as":[18],"IoT":[19],"nodes,":[20],"wearables,":[21],"drones,":[22],"and":[23,35,48,69,94,100,131,133,148,159],"cyber-physical":[24],"controllers.":[25],"In":[26],"2026,":[27],"EQML":[28],"is":[29,81,90],"technically":[30],"feasible":[31],"only":[32],"in":[33,75,140],"limited":[34],"highly":[36],"experimental":[37],"forms:":[38],"(i)":[39],"hybrid":[40],"workflows":[41],"where":[42],"an":[43],"embedded":[44,98],"device":[45],"performs":[46],"sensing":[47],"classical":[49,84,97],"processing":[50,62],"while":[51],"offloading":[52],"a":[53,59,77,107],"narrowly":[54],"scoped":[55],"subroutine":[57],"remote":[60],"unit":[63],"(QPU)":[64],"or":[65],"nearby":[66],"appliance,":[68],"(ii)":[70],"early-stage":[71],"\"embedded":[72],"QPU\"":[73],"concepts":[74],"which":[76],"compact":[78],"co-processor":[80],"integrated":[82],"with":[83,111],"control":[85,143],"hardware.":[86],"A":[87],"practical":[88],"bridge":[89],"quantum-inspired":[91],"optimisation":[95],"on":[96],"processors":[99],"FPGAs.":[101],"This":[102],"paper":[103],"analyses":[104],"feasibility":[105],"from":[106],"circuits-and-systems":[108],"perspective":[109],"aligned":[110],"the":[112,120],"academic":[113],"community,":[114],"formalises":[115],"two":[116],"implementation":[117],"pathways,":[118],"identifies":[119],"dominant":[121],"barriers":[122],"(latency,":[123],"data":[124],"encoding":[125],"overhead,":[126],"NISQ":[127],"noise,":[128],"tooling":[129],"mismatch,":[130],"energy),":[132],"maps":[134],"them":[135],"concrete":[137],"engineering":[138],"directions":[139],"interface":[141],"design,":[142],"electronics,":[144],"power":[145],"management,":[146],"verification,":[147],"security.":[149],"We":[150],"also":[151],"argue":[152],"that":[153,162],"responsible":[154],"deployment":[155],"requires":[156],"adversarial":[157],"evaluation":[158],"governance":[160],"practices":[161],"are":[163],"increasingly":[164],"necessary":[165],"for":[166],"AI":[168],"systems.":[169]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-03-17T00:00:00"}