{"id":"https://openalex.org/W7162139740","doi":"https://doi.org/10.48550/arxiv.2605.22097","title":"Q-PhotoNAS: Hybrid Quantum Neural Architecture Search Framework on Photonic Devices","display_name":"Q-PhotoNAS: Hybrid Quantum Neural Architecture Search Framework on Photonic Devices","publication_year":2026,"publication_date":"2026-05-21","ids":{"openalex":"https://openalex.org/W7162139740","doi":"https://doi.org/10.48550/arxiv.2605.22097"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.22097","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.22097","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2605.22097","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136736036","display_name":"Farah Elnakhal","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Elnakhal, Farah","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042642081","display_name":"Alberto Marchisio","orcid":"https://orcid.org/0000-0002-0689-4776"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marchisio, Alberto","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136757971","display_name":"Nouhaila Innan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Innan, Nouhaila","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088848663","display_name":"Gabriel Falc\u00e3o","orcid":"https://orcid.org/0000-0001-9805-6747"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Falcao, Gabriel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136804773","display_name":"Muhammad Shafique","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shafique, 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":0.8597000241279602,"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":0.8597000241279602,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.10610000044107437,"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":0.01549999974668026,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/photonics","display_name":"Photonics","score":0.7024000287055969},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.5293999910354614},{"id":"https://openalex.org/keywords/quantum-computer","display_name":"Quantum computer","score":0.42260000109672546},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4163999855518341},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4154999852180481},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.40790000557899475},{"id":"https://openalex.org/keywords/hybrid-system","display_name":"Hybrid system","score":0.37549999356269836},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3702000081539154},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.34850001335144043}],"concepts":[{"id":"https://openalex.org/C20788544","wikidata":"https://www.wikidata.org/wiki/Q467054","display_name":"Photonics","level":2,"score":0.7024000287055969},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6780999898910522},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.5293999910354614},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.42260000109672546},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4163999855518341},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4154999852180481},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.40790000557899475},{"id":"https://openalex.org/C50897621","wikidata":"https://www.wikidata.org/wiki/Q2665508","display_name":"Hybrid system","level":2,"score":0.37549999356269836},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3702000081539154},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.34850001335144043},{"id":"https://openalex.org/C121040770","wikidata":"https://www.wikidata.org/wiki/Q215675","display_name":"Quantum entanglement","level":3,"score":0.33739998936653137},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32760000228881836},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.30979999899864197},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.30649998784065247},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30469998717308044},{"id":"https://openalex.org/C186468114","wikidata":"https://www.wikidata.org/wiki/Q836478","display_name":"Quantum network","level":4,"score":0.303600013256073},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.30239999294281006},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3012999892234802},{"id":"https://openalex.org/C15706264","wikidata":"https://www.wikidata.org/wiki/Q230883","display_name":"Quantum state","level":3,"score":0.2874999940395355},{"id":"https://openalex.org/C58849907","wikidata":"https://www.wikidata.org/wiki/Q2118982","display_name":"Quantum gate","level":4,"score":0.2840999960899353},{"id":"https://openalex.org/C22799297","wikidata":"https://www.wikidata.org/wiki/Q523846","display_name":"Photonic integrated circuit","level":3,"score":0.28290000557899475},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.2718000113964081},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.2639000117778778},{"id":"https://openalex.org/C2776221188","wikidata":"https://www.wikidata.org/wiki/Q21072556","display_name":"Design space exploration","level":2,"score":0.2606000006198883},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.25839999318122864},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.25279998779296875},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.22097","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.22097","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":"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":"doi:10.48550/arxiv.2605.22097","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.22097","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.5939174294471741,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Photonic":[0],"quantum":[1,9,75,88,173,223],"computing":[2],"is":[3,205],"a":[4,58,101,117,191],"promising":[5],"platform":[6],"for":[7,35,63,210,217],"scalable":[8],"machine":[10],"learning,":[11],"but":[12],"designing":[13],"effective":[14],"hybrid":[15,64,104,211],"architectures":[16,30,105],"remains":[17],"challenging":[18],"under":[19],"hardware":[20,51],"and":[21,43,50,87,99,111,139,147,168,208],"optimization":[22],"constraints.":[23],"Existing":[24],"approaches":[25],"rely":[26],"on":[27,116,133,155,225],"manually":[28],"tuned":[29],"that":[31,68,178,201],"fail":[32],"to":[33,78,186],"account":[34],"the":[36,81,125,156,179,187,215],"collaboration":[37],"between":[38],"classical":[39,86,188],"preprocessing,":[40],"phase":[41,76],"encoding,":[42],"photonic":[44,65,159,180,212,226],"circuit":[45],"structure,":[46],"limiting":[47],"both":[48,206],"accuracy":[49,193],"compatibility.":[52],"In":[53],"this":[54],"paper,":[55],"we":[56],"propose":[57],"neural":[59],"architecture":[60,203],"search":[61,72,204],"framework":[62,91,132],"quantum-classical":[66],"models":[67],"combines":[69],"genetic":[70],"algorithm-based":[71],"with":[73,150],"learnable":[74],"encoding":[77],"systematically":[79],"explore":[80],"joint":[82],"design":[83,219],"space":[84,220],"of":[85,103,124,145,222],"components.":[89],"Our":[90,172,198],"encodes":[92],"19":[93],"hyperparameters":[94],"across":[95],"six":[96],"gene":[97],"groups":[98],"evolves":[100],"population":[102],"using":[106],"group-based":[107],"crossover,":[108],"per-gene":[109],"mutation,":[110],"elitism,":[112],"evaluating":[113],"each":[114],"candidate":[115],"short":[118],"training":[119],"budget":[120],"before":[121],"full":[122],"retraining":[123],"best":[126],"found":[127],"design.":[128],"We":[129],"evaluate":[130],"our":[131],"two":[134],"image":[135],"classification":[136],"benchmarks,":[137],"Digits":[138],"MNIST,":[140],"achieving":[141],"final":[142],"validation":[143],"accuracies":[144],"99.44%":[146],"98.78%,":[148],"respectively,":[149],"first-principles":[151],"execution":[152],"time":[153],"estimates":[154],"Quandela":[157],"Ascella":[158],"QPU":[160],"projecting":[161],"single-image":[162],"inference":[163],"at":[164],"~67":[165],"ms":[166,170],"(Digits)":[167],"~149":[169],"(MNIST).":[171],"contribution":[174],"analysis":[175],"further":[176],"shows":[177],"layer":[181],"extracts":[182],"non-redundant":[183],"features":[184],"orthogonal":[185],"pathway,":[189],"providing":[190],"measurable":[192],"advantage":[194],"over":[195],"classical-only":[196],"baselines.":[197],"results":[199],"demonstrate":[200],"automated":[202],"practical":[207],"impactful":[209],"systems,":[213],"opening":[214],"way":[216],"systematic":[218],"exploration":[221],"AI":[224],"devices.":[227]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-23T00:00:00"}