{"id":"https://openalex.org/W4416251147","doi":"https://doi.org/10.1109/ijcnn64981.2025.11229083","title":"Novel Quantum Approaches to Hyperdimensional Computing for Neural Networks","display_name":"Novel Quantum Approaches to Hyperdimensional Computing for Neural Networks","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416251147","doi":"https://doi.org/10.1109/ijcnn64981.2025.11229083"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11229083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11229083","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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/A5107079461","display_name":"Leonardo Lavagna","orcid":null},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Leonardo Lavagna","raw_affiliation_strings":["University of Rome \"La Sapienza\",Department of Information Engineering, Electronics and Telecommunications (DIET),Rome,Italy,00184"],"affiliations":[{"raw_affiliation_string":"University of Rome \"La Sapienza\",Department of Information Engineering, Electronics and Telecommunications (DIET),Rome,Italy,00184","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013731301","display_name":"Andrea Ceschini","orcid":"https://orcid.org/0000-0003-0555-9543"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea Ceschini","raw_affiliation_strings":["University of Rome \"La Sapienza\",Department of Information Engineering, Electronics and Telecommunications (DIET),Rome,Italy,00184"],"affiliations":[{"raw_affiliation_string":"University of Rome \"La Sapienza\",Department of Information Engineering, Electronics and Telecommunications (DIET),Rome,Italy,00184","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052397999","display_name":"Antonello Rosato","orcid":"https://orcid.org/0000-0002-4371-5925"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonello Rosato","raw_affiliation_strings":["University of Rome \"La Sapienza\",Department of Information Engineering, Electronics and Telecommunications (DIET),Rome,Italy,00184"],"affiliations":[{"raw_affiliation_string":"University of Rome \"La Sapienza\",Department of Information Engineering, Electronics and Telecommunications (DIET),Rome,Italy,00184","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015796693","display_name":"Massimo Panella","orcid":"https://orcid.org/0000-0002-9876-1494"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Massimo Panella","raw_affiliation_strings":["University of Rome \"La Sapienza\",Department of Information Engineering, Electronics and Telecommunications (DIET),Rome,Italy,00184"],"affiliations":[{"raw_affiliation_string":"University of Rome \"La Sapienza\",Department of Information Engineering, Electronics and Telecommunications (DIET),Rome,Italy,00184","institution_ids":["https://openalex.org/I861853513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5107079461"],"corresponding_institution_ids":["https://openalex.org/I861853513"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33086903,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.8664000034332275,"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"}},"topics":[{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.8664000034332275,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.0917000025510788,"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/T10049","display_name":"Magnetic properties of thin films","score":0.010900000110268593,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/quantum-computer","display_name":"Quantum computer","score":0.59579998254776},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.5932999849319458},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5353000164031982},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5238999724388123},{"id":"https://openalex.org/keywords/quantum-machine-learning","display_name":"Quantum machine learning","score":0.37700000405311584},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.30790001153945923}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.682200014591217},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.59579998254776},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.5932999849319458},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5353000164031982},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5238999724388123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.511900007724762},{"id":"https://openalex.org/C2779094486","wikidata":"https://www.wikidata.org/wiki/Q18811578","display_name":"Quantum machine learning","level":4,"score":0.37700000405311584},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3531000018119812},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32829999923706055},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.30790001153945923},{"id":"https://openalex.org/C137019171","wikidata":"https://www.wikidata.org/wiki/Q2623817","display_name":"Quantum algorithm","level":3,"score":0.28369998931884766},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.28110000491142273},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2775999903678894},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2750999927520752},{"id":"https://openalex.org/C2778926657","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum system","level":3,"score":0.26409998536109924}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11229083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11229083","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.uniroma1.it:11573/1764211","is_oa":false,"landing_page_url":"https://hdl.handle.net/11573/1764211","pdf_url":null,"source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1573820523","https://openalex.org/W1584123317","https://openalex.org/W2055784634","https://openalex.org/W2060500352","https://openalex.org/W2061422883","https://openalex.org/W2070862086","https://openalex.org/W2084652510","https://openalex.org/W2113510994","https://openalex.org/W2162039098","https://openalex.org/W2168530688","https://openalex.org/W2275170799","https://openalex.org/W2559317808","https://openalex.org/W2623160143","https://openalex.org/W2781738013","https://openalex.org/W2798434869","https://openalex.org/W2942276578","https://openalex.org/W2946512196","https://openalex.org/W2990961515","https://openalex.org/W3036478084","https://openalex.org/W3037687232","https://openalex.org/W3103043893","https://openalex.org/W3128387988","https://openalex.org/W3178355327","https://openalex.org/W3199289026","https://openalex.org/W3214202924","https://openalex.org/W3216638419","https://openalex.org/W4205199576","https://openalex.org/W4221159864","https://openalex.org/W4308481194","https://openalex.org/W4311689531","https://openalex.org/W4313007485","https://openalex.org/W4385574883","https://openalex.org/W4391818889","https://openalex.org/W4401567932","https://openalex.org/W4415798045"],"related_works":[],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3],"introduce":[4],"new":[5],"quantum":[6,13,71],"machine":[7,37],"learning":[8,38],"models":[9],"that":[10,25,53],"combine":[11],"both":[12],"and":[14,30,45,50,73],"hyperdimensional":[15,74],"computing.":[16,75],"We":[17,47],"focus":[18],"our":[19],"effort":[20],"on":[21],"two":[22,62],"novel":[23],"architectures":[24],"are":[26],"first":[27,57],"theoretically":[28],"demonstrated,":[29],"then":[31],"applied":[32],"for":[33,41,55],"testing":[34],"to":[35],"prototypical":[36],"tasks,":[39],"namely":[40],"pattern":[42],"completion,":[43],"classification,":[44],"clustering.":[46],"obtained":[48],"accurate":[49],"promising":[51],"results":[52],"prove,":[54],"the":[56,59,64],"time,":[58],"synergies":[60],"between":[61],"of":[63],"most":[65],"innovative":[66],"computational":[67],"approaches":[68],"such":[69],"as":[70],"computing":[72]},"counts_by_year":[],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-11-14T00:00:00"}