{"id":"https://openalex.org/W4409480783","doi":"https://doi.org/10.14428/esann/2025.es2025-91","title":"Encoding hyperspectral data with low-bond dimension quantum tensor networks","display_name":"Encoding hyperspectral data with low-bond dimension quantum tensor networks","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409480783","doi":"https://doi.org/10.14428/esann/2025.es2025-91"},"language":"en","primary_location":{"id":"doi:10.14428/esann/2025.es2025-91","is_oa":true,"landing_page_url":"https://doi.org/10.14428/esann/2025.es2025-91","pdf_url":"https://doi.org/10.14428/esann/2025.es2025-91","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ESANN 2025 proceesdings","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.14428/esann/2025.es2025-91","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010122454","display_name":"Fabian Fischbach","orcid":"https://orcid.org/0000-0001-9834-4394"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Fabian Fischbach","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089426452","display_name":"Hans-Martin Rieser","orcid":"https://orcid.org/0000-0002-1921-1436"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hans-Martin Rieser","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5117166407","display_name":"Oliver Sefrin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Oliver Sefrin","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5010122454"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.4326,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.94894768,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"525","last_page":"530"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9686999917030334,"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":0.9686999917030334,"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/dimension","display_name":"Dimension (graph theory)","score":0.6919760704040527},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6854687333106995},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6314531564712524},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5173644423484802},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5140839219093323},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.5031217932701111},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2657686471939087},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24721139669418335},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.22803190350532532},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.13822293281555176},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.12750393152236938},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.12516963481903076}],"concepts":[{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6919760704040527},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6854687333106995},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6314531564712524},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5173644423484802},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5140839219093323},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.5031217932701111},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2657686471939087},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24721139669418335},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.22803190350532532},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.13822293281555176},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.12750393152236938},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.12516963481903076}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.14428/esann/2025.es2025-91","is_oa":true,"landing_page_url":"https://doi.org/10.14428/esann/2025.es2025-91","pdf_url":"https://doi.org/10.14428/esann/2025.es2025-91","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ESANN 2025 proceesdings","raw_type":"proceedings-article"},{"id":"pmh:oai:elib.dlr.de:214128","is_oa":false,"landing_page_url":"https://doi.org/10.14428/esann/2025.ES2025-91>.","pdf_url":null,"source":{"id":"https://openalex.org/S4377196266","display_name":"elib (German Aerospace Center)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2898391981","host_organization_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","host_organization_lineage":["https://openalex.org/I2898391981"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":{"id":"doi:10.14428/esann/2025.es2025-91","is_oa":true,"landing_page_url":"https://doi.org/10.14428/esann/2025.es2025-91","pdf_url":"https://doi.org/10.14428/esann/2025.es2025-91","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ESANN 2025 proceesdings","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409480783.pdf","grobid_xml":"https://content.openalex.org/works/W4409480783.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2404757046","https://openalex.org/W2070598848","https://openalex.org/W2019190440","https://openalex.org/W3034864990","https://openalex.org/W2343470940"],"abstract_inverted_index":{"Encoding":[0],"data":[1,11,19,50],"on":[2,10,45,81],"a":[3,7,77],"quantum":[4,13,37,52,79],"computer":[5],"poses":[6],"major":[8],"challenge":[9],"intensive":[12],"applications":[14],"like":[15,24],"machine":[16],"learning.In":[17],"particular,":[18],"with":[20],"complex":[21],"internal":[22],"structure":[23],"emission":[25],"spectra":[26],"need":[27],"to":[28,31,54],"be":[29],"adapted":[30],"reduce":[32],"the":[33,41,46,64,82],"encoding":[34,47,57],"effort":[35],"of":[36,43,48,66],"circuits.We":[38],"empirically":[39],"investigate":[40],"influence":[42],"compression":[44],"hyperspectral":[49],"into":[51,76],"states,":[53],"make":[55],"its":[56],"more":[58],"efficient.To":[59],"this":[60],"end,":[61],"we":[62],"assess":[63],"effect":[65],"approximating":[67],"states":[68,74],"by":[69],"low-bond":[70],"dimension":[71],"matrix":[72],"product":[73],"fed":[75],"variational":[78],"classifier":[80],"public":[83],"Pavia":[84],"University":[85],"benchmark":[86],"dataset.":[87]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-11T06:11:40.159057","created_date":"2025-10-10T00:00:00"}