{"id":"https://openalex.org/W4318685726","doi":"https://doi.org/10.1145/3566097.3567877","title":"Knowledge Distillation in Quantum Neural Network Using Approximate Synthesis","display_name":"Knowledge Distillation in Quantum Neural Network Using Approximate Synthesis","publication_year":2023,"publication_date":"2023-01-16","ids":{"openalex":"https://openalex.org/W4318685726","doi":"https://doi.org/10.1145/3566097.3567877"},"language":"en","primary_location":{"id":"doi:10.1145/3566097.3567877","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3566097.3567877","pdf_url":null,"source":{"id":"https://openalex.org/S4363608968","display_name":"Proceedings of the 28th Asia and South Pacific Design Automation Conference","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th Asia and South Pacific Design Automation Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006138748","display_name":"Mahabubul Alam","orcid":"https://orcid.org/0000-0003-1441-2623"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mahabubul Alam","raw_affiliation_strings":["The Pennsylvania State University"],"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013754781","display_name":"Satwik Kundu","orcid":"https://orcid.org/0000-0002-2140-6486"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Satwik Kundu","raw_affiliation_strings":["The Pennsylvania State University"],"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085567454","display_name":"Swaroop Ghosh","orcid":"https://orcid.org/0000-0001-8753-490X"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Swaroop Ghosh","raw_affiliation_strings":["The Pennsylvania State University"],"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5006138748"],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":0.2264,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.34200937,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"639","last_page":"644"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9970999956130981,"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/T10558","display_name":"Advancements in Semiconductor Devices and Circuit Design","score":0.995199978351593,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8148140907287598},{"id":"https://openalex.org/keywords/qubit","display_name":"Qubit","score":0.5382532477378845},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5358836054801941},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5289580821990967},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.48404449224472046},{"id":"https://openalex.org/keywords/quantum-computer","display_name":"Quantum computer","score":0.4420921206474304},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.43624675273895264},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.380334734916687},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3572462201118469},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.34371939301490784}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8148140907287598},{"id":"https://openalex.org/C203087015","wikidata":"https://www.wikidata.org/wiki/Q378201","display_name":"Qubit","level":3,"score":0.5382532477378845},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5358836054801941},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5289580821990967},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.48404449224472046},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.4420921206474304},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.43624675273895264},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.380334734916687},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3572462201118469},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.34371939301490784},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3566097.3567877","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3566097.3567877","pdf_url":null,"source":{"id":"https://openalex.org/S4363608968","display_name":"Proceedings of the 28th Asia and South Pacific Design Automation Conference","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th Asia and South Pacific Design Automation Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3703193221","display_name":null,"funder_award_id":"CNS-1722557, CNS-2129675, CCF-2210963, CCF-1718474, OIA-2040667, DGE-1723687, DGE-1821766, DGE-2113839","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2023381398","https://openalex.org/W2600527611","https://openalex.org/W2811032035","https://openalex.org/W2945680873","https://openalex.org/W2954939433","https://openalex.org/W2982169647","https://openalex.org/W3075559820","https://openalex.org/W3098599423","https://openalex.org/W3099283286","https://openalex.org/W3101427288","https://openalex.org/W3103715576","https://openalex.org/W3132743969"],"related_works":["https://openalex.org/W2134613344","https://openalex.org/W4220701436","https://openalex.org/W4288020428","https://openalex.org/W4281396976","https://openalex.org/W2041206904","https://openalex.org/W4292387542","https://openalex.org/W2989046916","https://openalex.org/W204679888","https://openalex.org/W4285214172","https://openalex.org/W2997740458"],"abstract_inverted_index":{"Recent":[0],"assertions":[1],"of":[2,6,21,25,37,41,44,54,90,99,117,139,171,193],"a":[3,22,33,38,58,84,133,184,190,197,213],"potential":[4],"advantage":[5],"Quantum":[7],"Neural":[8],"Network":[9],"(QNN)":[10],"for":[11,57,108,114,121,156,212,218],"specific":[12],"Machine":[13],"Learning":[14],"(ML)":[15],"tasks":[16],"have":[17],"sparked":[18],"the":[19,88,96,105,109,169,209,219],"curiosity":[20],"sizable":[23],"number":[24,53,192],"application":[26],"researchers.":[27],"The":[28,51,179],"parameterized":[29],"quantum":[30,94],"circuit":[31,233],"(PQC),":[32],"major":[34],"building":[35],"block":[36],"QNN,":[39],"consists":[40],"several":[42],"layers":[43,56,194],"single-qubit":[45],"rotations":[46],"and":[47,141,150,235],"multi-qubit":[48],"entanglement":[49],"operations.":[50],"optimum":[52],"PQC":[55,100,110],"particular":[59],"ML":[60],"task":[61],"is":[62,147],"generally":[63],"unknown.":[64],"A":[65],"larger":[66],"network":[67,187,211],"often":[68],"provides":[69],"better":[70,239],"performance":[71],"in":[72,174,232],"noiseless":[73],"simulations.":[74],"However,":[75],"it":[76,129,205],"may":[77,111],"perform":[78],"poorly":[79],"on":[80],"hardware":[81,118,140,158],"compared":[82],"to":[83,124,131,136,148,203],"shallower":[85],"network.":[86],"Because":[87],"amount":[89],"noise":[91,142],"varies":[92],"amongst":[93],"devices,":[95],"optimal":[97],"depth":[98],"can":[101,160,216],"vary":[102],"significantly.":[103],"Additionally,":[104],"gates":[106],"chosen":[107],"be":[112,161],"suitable":[113],"one":[115],"type":[116],"but":[119],"not":[120],"another":[122],"due":[123],"compilation":[125],"overhead.":[126],"This":[127],"makes":[128],"difficult":[130],"generalize":[132],"QNN":[134,153,175,186],"design":[135],"wide":[137],"range":[138],"levels.":[143],"An":[144],"alternate":[145],"approach":[146,181],"build":[149],"train":[151,204],"multiple":[152],"models":[154],"targeted":[155],"each":[157],"which":[159],"expensive.":[162],"To":[163],"circumvent":[164],"these":[165],"issues,":[166],"we":[167,228],"introduce":[168],"concept":[170],"knowledge":[172],"distillation":[173],"using":[176],"approximate":[177],"synthesis.":[178],"proposed":[180],"will":[182],"create":[183],"new":[185,210],"with":[188],"(i)":[189],"reduced":[191],"or":[195],"(ii)":[196],"different":[198],"gate":[199],"set":[200],"without":[201],"having":[202],"from":[206],"scratch.":[207],"Training":[208],"few":[214],"epochs":[215],"compensate":[217],"loss":[220],"caused":[221],"by":[222],"approximation":[223],"error.":[224],"Through":[225],"empirical":[226],"analysis,":[227],"demonstrate":[229],"\u224871.4%":[230],"reduction":[231],"layers,":[234],"still":[236],"achieve":[237],"\u224816.2%":[238],"accuracy":[240],"under":[241],"noise.":[242]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
