{"id":"https://openalex.org/W4383501639","doi":"https://doi.org/10.1109/aicas57966.2023.10168607","title":"Performance Assessment of an Extremely Energy-Efficient Binary Neural Network Using Adiabatic Superconductor Devices","display_name":"Performance Assessment of an Extremely Energy-Efficient Binary Neural Network Using Adiabatic Superconductor Devices","publication_year":2023,"publication_date":"2023-06-11","ids":{"openalex":"https://openalex.org/W4383501639","doi":"https://doi.org/10.1109/aicas57966.2023.10168607"},"language":"en","primary_location":{"id":"doi:10.1109/aicas57966.2023.10168607","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/aicas57966.2023.10168607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS)","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/A5049723281","display_name":"Olivia Chen","orcid":"https://orcid.org/0000-0002-2208-0262"},"institutions":[{"id":"https://openalex.org/I185088104","display_name":"Tokyo City University","ror":"https://ror.org/04dt6bw53","country_code":"JP","type":"education","lineage":["https://openalex.org/I185088104"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Olivia Chen","raw_affiliation_strings":["Tokyo City University,Dept. Computer Science,Tokyo,Japan","Dept. Computer Science, Tokyo City University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo City University,Dept. Computer Science,Tokyo,Japan","institution_ids":["https://openalex.org/I185088104"]},{"raw_affiliation_string":"Dept. Computer Science, Tokyo City University, Tokyo, Japan","institution_ids":["https://openalex.org/I185088104"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101633365","display_name":"Zhengang Li","orcid":"https://orcid.org/0000-0001-6644-4761"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhengang Li","raw_affiliation_strings":["Northeasetern University,Dept. Electrical and Computer Engineering,Boston,USA","Dept. Electrical and Computer Engineering, Northeasetern University, Boston, USA"],"affiliations":[{"raw_affiliation_string":"Northeasetern University,Dept. Electrical and Computer Engineering,Boston,USA","institution_ids":["https://openalex.org/I111088046"]},{"raw_affiliation_string":"Dept. Electrical and Computer Engineering, Northeasetern University, Boston, USA","institution_ids":["https://openalex.org/I111088046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037760975","display_name":"Tomoharu Yamauchi","orcid":"https://orcid.org/0000-0003-2644-5270"},"institutions":[{"id":"https://openalex.org/I185088104","display_name":"Tokyo City University","ror":"https://ror.org/04dt6bw53","country_code":"JP","type":"education","lineage":["https://openalex.org/I185088104"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomoharu Yamauchi","raw_affiliation_strings":["Tokyo City University,Grad. Sch. Informative Engineering,Tokyo,Japan","Grad. Sch. Informative Engineering, Tokyo City University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo City University,Grad. Sch. Informative Engineering,Tokyo,Japan","institution_ids":["https://openalex.org/I185088104"]},{"raw_affiliation_string":"Grad. Sch. Informative Engineering, Tokyo City University, Tokyo, Japan","institution_ids":["https://openalex.org/I185088104"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100651384","display_name":"Yanzhi Wang","orcid":"https://orcid.org/0000-0002-3024-7990"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanzhi Wang","raw_affiliation_strings":["Northeasetern University,Dept. Electrical and Computer Engineering,Boston,USA","Dept. Electrical and Computer Engineering, Northeasetern University, Boston, USA"],"affiliations":[{"raw_affiliation_string":"Northeasetern University,Dept. Electrical and Computer Engineering,Boston,USA","institution_ids":["https://openalex.org/I111088046"]},{"raw_affiliation_string":"Dept. Electrical and Computer Engineering, Northeasetern University, Boston, USA","institution_ids":["https://openalex.org/I111088046"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089936222","display_name":"Nobuyuki Yoshikawa","orcid":"https://orcid.org/0000-0001-6191-6715"},"institutions":[{"id":"https://openalex.org/I180203408","display_name":"Yokohama National University","ror":"https://ror.org/03zyp6p76","country_code":"JP","type":"education","lineage":["https://openalex.org/I180203408"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nobuyuki Yoshikawa","raw_affiliation_strings":["Yokohama National University,Dept. Electrical and Computer Engineering,Yokohama,Japan","Dept. Electrical and Computer Engineering, Yokohama National University, Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"Yokohama National University,Dept. Electrical and Computer Engineering,Yokohama,Japan","institution_ids":["https://openalex.org/I180203408"]},{"raw_affiliation_string":"Dept. Electrical and Computer Engineering, Yokohama National University, Yokohama, Japan","institution_ids":["https://openalex.org/I180203408"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5049723281"],"corresponding_institution_ids":["https://openalex.org/I185088104"],"apc_list":null,"apc_paid":null,"fwci":0.208,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51159405,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"25","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10382","display_name":"Quantum and electron transport phenomena","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10382","display_name":"Quantum and electron transport phenomena","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T10558","display_name":"Advancements in Semiconductor Devices and Circuit Design","score":0.9995999932289124,"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/T10037","display_name":"Physics of Superconductivity and Magnetism","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/3104","display_name":"Condensed Matter Physics"},"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/scalability","display_name":"Scalability","score":0.7004963755607605},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6248543858528137},{"id":"https://openalex.org/keywords/josephson-effect","display_name":"Josephson effect","score":0.5828027129173279},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5438743829727173},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5169333815574646},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4947337806224823},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4289371073246002},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36484187841415405},{"id":"https://openalex.org/keywords/superconductivity","display_name":"Superconductivity","score":0.33272844552993774},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3236294984817505},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.235061913728714},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16529357433319092},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10886332392692566},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.08877837657928467}],"concepts":[{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7004963755607605},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6248543858528137},{"id":"https://openalex.org/C12038964","wikidata":"https://www.wikidata.org/wiki/Q764228","display_name":"Josephson effect","level":3,"score":0.5828027129173279},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5438743829727173},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5169333815574646},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4947337806224823},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4289371073246002},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36484187841415405},{"id":"https://openalex.org/C54101563","wikidata":"https://www.wikidata.org/wiki/Q124131","display_name":"Superconductivity","level":2,"score":0.33272844552993774},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3236294984817505},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.235061913728714},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16529357433319092},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10886332392692566},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.08877837657928467},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aicas57966.2023.10168607","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/aicas57966.2023.10168607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8700000047683716,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1500616377","https://openalex.org/W2016657571","https://openalex.org/W2060505058","https://openalex.org/W2060789102","https://openalex.org/W2072434547","https://openalex.org/W2113535733","https://openalex.org/W2119587409","https://openalex.org/W2142109169","https://openalex.org/W2260663238","https://openalex.org/W2300242332","https://openalex.org/W2905201316","https://openalex.org/W2920909449","https://openalex.org/W2945528538","https://openalex.org/W3005826505","https://openalex.org/W3005859455","https://openalex.org/W3094193943","https://openalex.org/W3112241772","https://openalex.org/W3128216059","https://openalex.org/W3129977055","https://openalex.org/W3134987512","https://openalex.org/W4319780662"],"related_works":["https://openalex.org/W2357241914","https://openalex.org/W2208221443","https://openalex.org/W4287836130","https://openalex.org/W833128512","https://openalex.org/W1971631257","https://openalex.org/W3183118997","https://openalex.org/W3214410901","https://openalex.org/W3204400881","https://openalex.org/W3204296682","https://openalex.org/W2917767146"],"abstract_inverted_index":{"Binary":[0],"Neural":[1,13],"Networks":[2,14],"(BNNs)":[3],"are":[4,57],"gaining":[5],"popularity":[6],"for":[7,28,59],"solving":[8],"real-world":[9],"problems":[10],"using":[11,42,62],"Deep":[12],"(DNNs),":[15],"such":[16],"as":[17],"image":[18],"recognition":[19],"and":[20,30,66,107],"natural":[21],"language":[22],"processing.":[23],"BNNs":[24,52],"use":[25],"binary":[26],"precision":[27],"weights":[29],"activations,":[31],"reducing":[32],"memory":[33],"usage":[34],"by":[35,89],"32":[36],"times":[37],"compared":[38],"to":[39,103],"conventional":[40],"networks":[41],"32-bit":[43],"floating-point":[44],"precision.":[45],"Among":[46],"various":[47],"types":[48],"of":[49,79],"BNNs,":[50],"AQFP-based":[51,82],"utilizing":[53],"superconducting":[54],"logic":[55],"families":[56],"promising":[58],"energy-efficient":[60],"computing,":[61],"magnetic":[63],"flux":[64],"quantization":[65],"quantum":[67],"interference":[68],"in":[69,92],"Josephson-junction-based":[70],"superconductor":[71],"loops.":[72],"This":[73],"paper":[74],"presents":[75],"a":[76,80],"performance":[77],"assessment":[78],"novel":[81],"BNN":[83],"architecture,":[84],"highlighting":[85],"scalability":[86],"issues":[87,106],"caused":[88],"increased":[90],"inductance":[91],"the":[93],"analog":[94],"accumulation":[95],"circuit.":[96],"We":[97],"also":[98],"discuss":[99],"potential":[100],"optimization":[101],"approaches":[102],"address":[104],"these":[105],"improve":[108],"scalability.":[109]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}
