{"id":"https://openalex.org/W7118555041","doi":"https://doi.org/10.1109/vtc2025-fall65116.2025.11310424","title":"QLook: Quantum-Driven Viewport Prediction for Virtual Reality","display_name":"QLook: Quantum-Driven Viewport Prediction for Virtual Reality","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W7118555041","doi":"https://doi.org/10.1109/vtc2025-fall65116.2025.11310424"},"language":null,"primary_location":{"id":"doi:10.1109/vtc2025-fall65116.2025.11310424","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2025-fall65116.2025.11310424","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 102nd Vehicular Technology Conference (VTC2025-Fall)","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/A5122244848","display_name":"Niusha Sabri Kadijani","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092976","display_name":"Metropolitan University","ror":"https://ror.org/00ewfne71","country_code":"RS","type":"education","lineage":["https://openalex.org/I4210092976"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Niusha Sabri Kadijani","raw_affiliation_strings":["Toronto Metropolitan University,Department of Electrical, Computer & Biomedical Engineering,Toronto,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Toronto Metropolitan University,Department of Electrical, Computer & Biomedical Engineering,Toronto,Canada","institution_ids":["https://openalex.org/I4210092976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030827764","display_name":"Yoga Suhas Kuruba Manjunath","orcid":"https://orcid.org/0000-0001-5377-8885"},"institutions":[{"id":"https://openalex.org/I4210092976","display_name":"Metropolitan University","ror":"https://ror.org/00ewfne71","country_code":"RS","type":"education","lineage":["https://openalex.org/I4210092976"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Yoga Suhas Kuruba Manjunath","raw_affiliation_strings":["Toronto Metropolitan University,Department of Electrical, Computer & Biomedical Engineering,Toronto,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Toronto Metropolitan University,Department of Electrical, Computer & Biomedical Engineering,Toronto,Canada","institution_ids":["https://openalex.org/I4210092976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122183063","display_name":"Xiaodan Bi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092976","display_name":"Metropolitan University","ror":"https://ror.org/00ewfne71","country_code":"RS","type":"education","lineage":["https://openalex.org/I4210092976"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Xiaodan Bi","raw_affiliation_strings":["Toronto Metropolitan University,Department of Electrical, Computer & Biomedical Engineering,Toronto,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Toronto Metropolitan University,Department of Electrical, Computer & Biomedical Engineering,Toronto,Canada","institution_ids":["https://openalex.org/I4210092976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031563805","display_name":"Lian Rong Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092976","display_name":"Metropolitan University","ror":"https://ror.org/00ewfne71","country_code":"RS","type":"education","lineage":["https://openalex.org/I4210092976"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Lian Zhao","raw_affiliation_strings":["Toronto Metropolitan University,Department of Electrical, Computer & Biomedical Engineering,Toronto,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Toronto Metropolitan University,Department of Electrical, Computer & Biomedical Engineering,Toronto,Canada","institution_ids":["https://openalex.org/I4210092976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.78970307,"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":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.2750000059604645,"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":0.2750000059604645,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.03610000014305115,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13219","display_name":"Mind wandering and attention","score":0.03500000014901161,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/viewport","display_name":"Viewport","score":0.7394999861717224},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.6147000193595886},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5149999856948853},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48080000281333923},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.48030000925064087},{"id":"https://openalex.org/keywords/superposition-principle","display_name":"Superposition principle","score":0.4090000092983246},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.3765000104904175},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.3736000061035156}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7651000022888184},{"id":"https://openalex.org/C2778090530","wikidata":"https://www.wikidata.org/wiki/Q2523931","display_name":"Viewport","level":2,"score":0.7394999861717224},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.6147000193595886},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5149999856948853},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48080000281333923},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.48030000925064087},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4571000039577484},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.42250001430511475},{"id":"https://openalex.org/C27753989","wikidata":"https://www.wikidata.org/wiki/Q284885","display_name":"Superposition principle","level":2,"score":0.4090000092983246},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3765000104904175},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.3736000061035156},{"id":"https://openalex.org/C27362006","wikidata":"https://www.wikidata.org/wiki/Q272021","display_name":"Gestalt psychology","level":3,"score":0.36039999127388},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3328999876976013},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.33230000734329224},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.3190999925136566},{"id":"https://openalex.org/C121040770","wikidata":"https://www.wikidata.org/wiki/Q215675","display_name":"Quantum entanglement","level":3,"score":0.3147999942302704},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.31150001287460327},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3109999895095825},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.29499998688697815},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28940001130104065},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.2883000075817108},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28690001368522644},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.28529998660087585},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.2705000042915344},{"id":"https://openalex.org/C203087015","wikidata":"https://www.wikidata.org/wiki/Q378201","display_name":"Qubit","level":3,"score":0.2603999972343445},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.2547000050544739}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2025-fall65116.2025.11310424","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2025-fall65116.2025.11310424","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 102nd Vehicular Technology Conference (VTC2025-Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7630403637886047}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W266794195","https://openalex.org/W2559394418","https://openalex.org/W2792946961","https://openalex.org/W2921920881","https://openalex.org/W3082455048","https://openalex.org/W3094082851","https://openalex.org/W3111162498","https://openalex.org/W3136233239","https://openalex.org/W4285506370","https://openalex.org/W4362513962","https://openalex.org/W4376851419","https://openalex.org/W4388079792","https://openalex.org/W4394881861","https://openalex.org/W4401536854","https://openalex.org/W4405179124","https://openalex.org/W4408891455"],"related_works":[],"abstract_inverted_index":{"We":[0,84],"propose":[1],"QLook,":[2],"a":[3,64,108],"quantum-driven":[4],"predictive":[5],"framework":[6,19],"to":[7,25,49,89,117],"improve":[8],"viewport":[9,122],"prediction":[10],"accuracy":[11],"in":[12,39,111],"immersive":[13],"virtual":[14],"reality":[15],"(VR)":[16],"environments.":[17],"The":[18,60],"utilizes":[20],"quantum":[21,75,78],"neural":[22,71],"networks":[23,72],"(QNNs)":[24],"model":[26],"the":[27],"user":[28,57],"movement":[29],"data,":[30],"which":[31],"has":[32],"multiple":[33],"interdependent":[34],"dimensions":[35],"and":[36,47,51],"is":[37],"collected":[38],"six-degree-of-freedom":[40],"(6DoF)":[41],"VR":[42],"settings.":[43],"QNN":[44],"leverages":[45],"superposition":[46],"entanglement":[48],"encode":[50],"process":[52],"complex":[53],"correlations":[54],"among":[55],"high-dimensional":[56],"positional":[58],"data.":[59],"proposed":[61],"solution":[62],"features":[63],"cascaded":[65],"hybrid":[66],"architecture":[67],"that":[68],"integrates":[69],"classical":[70],"with":[73,95],"variational":[74],"circuits":[76],"(VQCs)-enhanced":[77],"long":[79],"short-term":[80],"memory":[81],"(QLSTM)":[82],"networks.":[83],"utilize":[85],"identity":[86],"block":[87],"initialization":[88],"mitigate":[90],"training":[91],"challenges":[92],"commonly":[93],"associated":[94],"VQCs,":[96],"particularly":[97],"those":[98],"encountered":[99],"as":[100],"barren":[101],"plateaus.":[102],"Empirical":[103],"evaluation":[104],"of":[105],"QLook":[106],"demonstrates":[107],"37.4%":[109],"reduction":[110],"mean":[112],"squared":[113],"error":[114],"(MSE)":[115],"compared":[116],"state-of-the-art":[118],"(SoTA),":[119],"showcasing":[120],"superior":[121],"prediction.":[123]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-01-08T00:00:00"}