{"id":"https://openalex.org/W7127656885","doi":"https://doi.org/10.48550/arxiv.2602.03840","title":"Investigating Quantum Circuit Designs Using Neuro-Evolution","display_name":"Investigating Quantum Circuit Designs Using Neuro-Evolution","publication_year":2026,"publication_date":"2026-02-03","ids":{"openalex":"https://openalex.org/W7127656885","doi":"https://doi.org/10.48550/arxiv.2602.03840"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.03840","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","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":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023278181","display_name":"Devroop Kar","orcid":"https://orcid.org/0000-0003-1404-1076"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kar, Devroop","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034041554","display_name":"Daniel E. Krutz","orcid":"https://orcid.org/0000-0002-0310-3086"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Krutz, Daniel","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5065630093","display_name":"Travis Desell","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Desell, Travis","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023278181"],"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":0.8532000184059143,"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":0.8532000184059143,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.10320000350475311,"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":0.006200000178068876,"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/quantum-circuit","display_name":"Quantum circuit","score":0.7472000122070312},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.6345999836921692},{"id":"https://openalex.org/keywords/qubit","display_name":"Qubit","score":0.6062999963760376},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.5455999970436096},{"id":"https://openalex.org/keywords/quantum-gate","display_name":"Quantum gate","score":0.5275999903678894},{"id":"https://openalex.org/keywords/quantum-computer","display_name":"Quantum computer","score":0.4885999858379364},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.47380000352859497},{"id":"https://openalex.org/keywords/circuit-design","display_name":"Circuit design","score":0.4487999975681305},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.4251999855041504}],"concepts":[{"id":"https://openalex.org/C124148022","wikidata":"https://www.wikidata.org/wiki/Q2122210","display_name":"Quantum circuit","level":5,"score":0.7472000122070312},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6668000221252441},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.6345999836921692},{"id":"https://openalex.org/C203087015","wikidata":"https://www.wikidata.org/wiki/Q378201","display_name":"Qubit","level":3,"score":0.6062999963760376},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.5455999970436096},{"id":"https://openalex.org/C58849907","wikidata":"https://www.wikidata.org/wiki/Q2118982","display_name":"Quantum gate","level":4,"score":0.5275999903678894},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.4885999858379364},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.48069998621940613},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.47380000352859497},{"id":"https://openalex.org/C190560348","wikidata":"https://www.wikidata.org/wiki/Q3245116","display_name":"Circuit design","level":2,"score":0.4487999975681305},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.4251999855041504},{"id":"https://openalex.org/C137019171","wikidata":"https://www.wikidata.org/wiki/Q2623817","display_name":"Quantum algorithm","level":3,"score":0.4081999957561493},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35929998755455017},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3465999960899353},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.33250001072883606},{"id":"https://openalex.org/C51003876","wikidata":"https://www.wikidata.org/wiki/Q1536431","display_name":"Quantum error correction","level":4,"score":0.3188000023365021},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30790001153945923},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.3003000020980835},{"id":"https://openalex.org/C169460222","wikidata":"https://www.wikidata.org/wiki/Q1206311","display_name":"Quantum logic","level":4,"score":0.29670000076293945},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.29589998722076416},{"id":"https://openalex.org/C190463098","wikidata":"https://www.wikidata.org/wiki/Q2081419","display_name":"Quantum technology","level":4,"score":0.2928999960422516},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2865000069141388},{"id":"https://openalex.org/C131017901","wikidata":"https://www.wikidata.org/wiki/Q170451","display_name":"Logic gate","level":2,"score":0.2838999927043915},{"id":"https://openalex.org/C169699857","wikidata":"https://www.wikidata.org/wiki/Q2122243","display_name":"Quantum information","level":3,"score":0.2833999991416931},{"id":"https://openalex.org/C182953411","wikidata":"https://www.wikidata.org/wiki/Q917713","display_name":"Controlled NOT gate","level":5,"score":0.2770000100135803},{"id":"https://openalex.org/C2776243922","wikidata":"https://www.wikidata.org/wiki/Q5418727","display_name":"Evolvable hardware","level":3,"score":0.274399995803833},{"id":"https://openalex.org/C141796577","wikidata":"https://www.wikidata.org/wiki/Q837479","display_name":"Boolean circuit","level":3,"score":0.2599000036716461},{"id":"https://openalex.org/C64260653","wikidata":"https://www.wikidata.org/wiki/Q1194864","display_name":"Electronic design automation","level":2,"score":0.2597000002861023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2563999891281128},{"id":"https://openalex.org/C81843906","wikidata":"https://www.wikidata.org/wiki/Q173156","display_name":"Digital electronics","level":3,"score":0.25209999084472656}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.03840","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.03840","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.03840","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.03840","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"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":{"Designing":[0],"effective":[1],"quantum":[2,9,53,79,139,144,155,192],"circuits":[3,43,80,162],"remains":[4],"a":[5,134,147,181],"central":[6],"challenge":[7],"in":[8,36],"computing,":[10],"as":[11,133],"circuit":[12,27,105,156,191],"structure":[13],"strongly":[14],"influences":[15],"expressivity,":[16],"trainability,":[17],"and":[18,39,75,84,90,104,110,118,142,153,185],"hardware":[19,109],"feasibility.":[20],"Current":[21],"approaches,":[22],"whether":[23],"using":[24],"manually":[25],"designed":[26],"templates,":[28],"fixed":[29],"heuristics,":[30],"or":[31,52],"automated":[32,73],"rules,":[33],"face":[34],"limitations":[35],"scalability,":[37],"flexibility,":[38],"adaptability,":[40],"often":[41],"producing":[42],"that":[44,161],"are":[45,167,186],"poorly":[46],"matched":[47],"to":[48,71,124,169,188],"the":[49,60,72,122,177],"specific":[50],"problem":[51],"hardware.":[54],"In":[55],"this":[56],"work,":[57],"we":[58],"propose":[59],"Evolutionary":[61],"eXploration":[62],"of":[63,77,176],"Augmenting":[64],"Quantum":[65],"Circuits":[66],"(EXAQC),":[67],"an":[68],"evolutionary":[69,131],"approach":[70],"design":[74],"training":[76],"parameterized":[78],"(PQCs)":[81],"which":[82],"leverages":[83],"extends":[85],"on":[86,164,174],"strategies":[87],"from":[88],"neuroevolution":[89],"genetic":[91],"programming.":[92],"The":[93,113],"proposed":[94],"method":[95,114],"jointly":[96],"searches":[97],"over":[98,171],"gate":[99],"types,":[100],"qubit":[101],"connectivity,":[102],"parameterization,":[103],"depth":[106],"while":[107],"respecting":[108],"noise":[111],"constraints.":[112],"supports":[115],"both":[116],"Qiskit":[117],"Pennylane":[119],"libraries,":[120],"allowing":[121],"user":[123],"configure":[125],"every":[126],"aspect.":[127],"This":[128],"work":[129],"highlights":[130],"search":[132],"critical":[135],"tool":[136],"for":[137],"advancing":[138],"machine":[140],"learning":[141],"variational":[143],"algorithms,":[145],"providing":[146],"principled":[148],"pathway":[149],"toward":[150],"scalable,":[151],"problem-aware,":[152],"hardware-efficient":[154],"design.":[157],"Preliminary":[158],"results":[159],"demonstrate":[160],"evolved":[163],"classification":[165],"tasks":[166],"able":[168,187],"achieve":[170],"90%":[172],"accuracy":[173],"most":[175],"benchmark":[178],"datasets":[179],"with":[180,194],"limited":[182],"computational":[183],"budget,":[184],"emulate":[189],"target":[190],"states":[193],"high":[195],"fidelity":[196],"scores.":[197]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-06T00:00:00"}
