{"id":"https://openalex.org/W7215100693","doi":"https://doi.org/10.48550/arxiv.2609.38500","title":"Q-SPARSE: Quantum Subspace Projection for Near-Field Angle-Range Spectrum Estimation","display_name":"Q-SPARSE: Quantum Subspace Projection for Near-Field Angle-Range Spectrum Estimation","publication_year":2026,"publication_date":"2026-09-29","ids":{"openalex":"https://openalex.org/W7215100693","doi":"https://doi.org/10.48550/arxiv.2609.38500"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2609.38500","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.38500","pdf_url":"https://arxiv.org/pdf/2609.38500","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2609.38500","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018756500","display_name":"Mostafizur Rahaman Laskar","orcid":"https://orcid.org/0000-0002-8538-7085","observed_orcids":["https://orcid.org/0000-0002-8538-7085"]},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Laskar, Mostafizur Rahaman","raw_affiliation_strings":["Information Science and Engineering , KTH Royal Institute of Technology , Stockholm , Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Science and Engineering , KTH Royal Institute of Technology , Stockholm , Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086101827","display_name":"Sajad Daei","orcid":"https://orcid.org/0000-0001-6866-6595","observed_orcids":["https://orcid.org/0000-0001-6866-6595"]},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Daei, Sajad","raw_affiliation_strings":["Information Science and Engineering , KTH Royal Institute of Technology , Stockholm , Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Science and Engineering , KTH Royal Institute of Technology , Stockholm , Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016692893","display_name":"G\u00e1bor Fodor","orcid":"https://orcid.org/0000-0002-2289-3159","observed_orcids":["https://orcid.org/0000-0002-2289-3159"]},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]},{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Fodor, Gabor","raw_affiliation_strings":["Ericsson , Sweden","Information Science and Engineering , KTH Royal Institute of Technology , Stockholm , Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ericsson , Sweden","institution_ids":["https://openalex.org/I1306339040"]},{"raw_affiliation_string":"Information Science and Engineering , KTH Royal Institute of Technology , Stockholm , Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041348422","display_name":"Mikael Skoglund","orcid":"https://orcid.org/0000-0002-7926-5081","observed_orcids":["https://orcid.org/0000-0002-7926-5081"]},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Skoglund, Mikael","raw_affiliation_strings":["Information Science and Engineering , KTH Royal Institute of Technology , Stockholm , Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Science and Engineering , KTH Royal Institute of Technology , Stockholm , Sweden","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9550999999046326,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9550999999046326,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.025100000202655792,"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":0.004000000189989805,"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/spherical-microphone-array","display_name":"spherical microphone array","score":0.4429999887943268},{"id":"https://openalex.org/keywords/quantum-phase-estimation","display_name":"quantum phase estimation","score":0.7739999890327454},{"id":"https://openalex.org/keywords/music-algorithm","display_name":"MUSIC algorithm","score":0.6660000085830688},{"id":"https://openalex.org/keywords/wavefront-curvature","display_name":"wavefront curvature","score":0.7609999775886536},{"id":"https://openalex.org/keywords/marchenko-pastur-distribution","display_name":"Marchenko-Pastur distribution","score":0.8500000238418579},{"id":"https://openalex.org/keywords/quantum-machine-learning","display_name":"quantum machine learning","score":0.4860000014305115},{"id":"https://openalex.org/keywords/qiskit","display_name":"Qiskit","score":0.5759999752044678}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6340000033378601},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5638999938964844},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.5594000220298767},{"id":"https://openalex.org/C192122513","wikidata":"https://www.wikidata.org/wiki/Q2835770","display_name":"Quantum phase estimation algorithm","level":5,"score":0.4968999922275543},{"id":"https://openalex.org/C179957908","wikidata":"https://www.wikidata.org/wiki/Q907206","display_name":"POVM","level":5,"score":0.42489999532699585},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.4106999933719635},{"id":"https://openalex.org/C203087015","wikidata":"https://www.wikidata.org/wiki/Q378201","display_name":"Qubit","level":3,"score":0.38830000162124634},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.3785000145435333},{"id":"https://openalex.org/C15706264","wikidata":"https://www.wikidata.org/wiki/Q230883","display_name":"Quantum state","level":3,"score":0.37689998745918274},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3653999865055084},{"id":"https://openalex.org/C137019171","wikidata":"https://www.wikidata.org/wiki/Q2623817","display_name":"Quantum algorithm","level":3,"score":0.3626999855041504},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.35690000653266907},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.3562999963760376},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3427000045776367},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.34049999713897705},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.334199994802475},{"id":"https://openalex.org/C151342819","wikidata":"https://www.wikidata.org/wiki/Q62542","display_name":"Phase space","level":2,"score":0.32019999623298645},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.3197000026702881},{"id":"https://openalex.org/C166834278","wikidata":"https://www.wikidata.org/wiki/Q4218494","display_name":"Quantum tomography","level":4,"score":0.31150001287460327},{"id":"https://openalex.org/C2777067715","wikidata":"https://www.wikidata.org/wiki/Q3327726","display_name":"Multitaper","level":2,"score":0.3086000084877014},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.30219998955726624},{"id":"https://openalex.org/C2776639384","wikidata":"https://www.wikidata.org/wiki/Q840396","display_name":"Ideal (ethics)","level":2,"score":0.29760000109672546},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.28769999742507935},{"id":"https://openalex.org/C169699857","wikidata":"https://www.wikidata.org/wiki/Q2122243","display_name":"Quantum information","level":3,"score":0.2858000099658966},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2842000126838684},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.2809000015258789},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.273499995470047},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2732999920845032},{"id":"https://openalex.org/C111996192","wikidata":"https://www.wikidata.org/wiki/Q7269075","display_name":"Quantum noise","level":3,"score":0.2721000015735626},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.2718000113964081},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.2700999975204468},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.2696000039577484},{"id":"https://openalex.org/C62799726","wikidata":"https://www.wikidata.org/wiki/Q190056","display_name":"Hilbert space","level":2,"score":0.2653000056743622},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.26429998874664307},{"id":"https://openalex.org/C51003876","wikidata":"https://www.wikidata.org/wiki/Q1536431","display_name":"Quantum error correction","level":4,"score":0.26190000772476196},{"id":"https://openalex.org/C30049272","wikidata":"https://www.wikidata.org/wiki/Q6555326","display_name":"Spectral density estimation","level":3,"score":0.26089999079704285},{"id":"https://openalex.org/C96147967","wikidata":"https://www.wikidata.org/wiki/Q190686","display_name":"Subroutine","level":2,"score":0.25929999351501465},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.2578999996185303},{"id":"https://openalex.org/C162392398","wikidata":"https://www.wikidata.org/wiki/Q272404","display_name":"Finite set","level":2,"score":0.2554999887943268},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2609.38500","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.38500","pdf_url":"https://arxiv.org/pdf/2609.38500","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"doi:10.48550/arxiv.2609.38500","doi":"https://doi.org/10.48550/arxiv.2609.38500","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2609.38500","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2609.38500","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.38500","pdf_url":"https://arxiv.org/pdf/2609.38500","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7215100693.pdf","grobid_xml":"https://content.openalex.org/works/W7215100693.grobid-xml"},"referenced_works_count":2,"referenced_works":["https://openalex.org/W7129732293","https://openalex.org/W7154322810"],"related_works":["https://openalex.org/W3002480340","https://openalex.org/W2158072264","https://openalex.org/W3184254064","https://openalex.org/W4200614775","https://openalex.org/W4391621094","https://openalex.org/W2952210871","https://openalex.org/W4415143709","https://openalex.org/W2904126148","https://openalex.org/W3127872621","https://openalex.org/W4398859521"],"abstract_inverted_index":{"Near-field":[0],"wavefront":[1],"curvature":[2],"enables":[3],"joint":[4],"angle-range":[5],"localization,":[6],"but":[7],"exploiting":[8],"it":[9],"entails":[10],"repeated":[11],"covariance-eigenspace":[12],"tests":[13],"over":[14],"a":[15,21,48,66,84,123,142],"two-dimensional":[16],"spherical":[17,44],"manifold.":[18],"We":[19],"propose":[20,141],"quantum":[22,49,52,95],"subspace-projection":[23],"algorithm":[24],"(Q-SPARSE)":[25],"for":[26,164],"super-resolution":[27],"estimation":[28,54],"of":[29,79,87,97,118,127],"parameters":[30],"in":[31,94],"the":[32,61,75,80,88,91,108,116,133,136],"near":[33],"field,":[34],"employing":[35],"spectral":[36,63],"signature":[37],"similar":[38],"to":[39,56],"MUSIC.":[40,121],"Q-SPARSE":[41],"prepares":[42],"each":[43],"steering":[45],"hypothesis":[46],"as":[47],"state,":[50],"applies":[51],"phase":[53,129],"(QPE)":[55],"covariance-generated":[57],"evolution,":[58],"and":[59,113,140],"converts":[60],"resolved":[62],"mass":[64],"into":[65],"localization":[67],"spectrum.":[68],"The":[69],"proposed":[70],"method":[71],"does":[72],"not":[73],"need":[74],"full":[76],"classical":[77,109],"preparation":[78],"eigenstates,":[81],"which":[82],"is":[83],"major":[85],"bottleneck":[86],"QPE":[89,138],"algorithm,":[90],"main":[92],"subroutine":[93],"variants":[96],"MUSIC":[98],"algorithms.":[99],"Under":[100],"an":[101],"ideal":[102],"signal-noise":[103],"partition,":[104],"its":[105],"score":[106,134],"equals":[107],"signal-subspace":[110],"overlap":[111],"exactly":[112],"thus":[114],"preserves":[115],"maximizer":[117],"normalized":[119],"near-field":[120,165],"For":[122],"finite":[124],"q":[125],"number":[126],"qubit":[128],"registers,":[130],"we":[131],"derive":[132],"from":[135],"complete":[137],"kernel,":[139],"nearest-bin":[143],"selection":[144],"scheme":[145],"with":[146],"soft-thresholding":[147],"based":[148],"on":[149,157],"Marchenko-Pastur-calibrated":[150],"logistic":[151],"weighting":[152],"decision":[153],"criteria.":[154],"Numerical":[155],"results":[156],"IBM's":[158],"QISKIT":[159],"software":[160],"platform":[161],"are":[162],"demonstrated":[163],"array":[166],"processing.":[167]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-10-02T00:00:00"}
