{"id":"https://openalex.org/W7166727132","doi":"https://doi.org/10.1145/3774895.3815550","title":"Quantum Optimization for Electromagnetics: Physics-Informed QAOA for Reconfigurable Intelligent Surfaces","display_name":"Quantum Optimization for Electromagnetics: Physics-Informed QAOA for Reconfigurable Intelligent Surfaces","publication_year":2026,"publication_date":"2026-06-30","ids":{"openalex":"https://openalex.org/W7166727132","doi":"https://doi.org/10.1145/3774895.3815550"},"language":null,"primary_location":{"id":"doi:10.1145/3774895.3815550","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774895.3815550","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th ACM International Conference on Supercomputing - Workshops","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3774895.3815550","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139682084","display_name":"Marco Pasquale","orcid":"https://orcid.org/0009-0000-2892-3235"},"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":"Marco Pasquale","raw_affiliation_strings":["KTH, Stockholm, Sweden"],"raw_orcid":"https://orcid.org/0009-0000-2892-3235","affiliations":[{"raw_affiliation_string":"KTH, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120301886","display_name":"Erik M. \u00c5sgrim","orcid":null},"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":"Erik M. \u00c5sgrim","raw_affiliation_strings":["KTH, Stockholm, Sweden"],"raw_orcid":"https://orcid.org/0009-0001-5695-209X","affiliations":[{"raw_affiliation_string":"KTH, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085178088","display_name":"Stefano Markidis","orcid":"https://orcid.org/0000-0003-0639-0639"},"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":"Stefano Markidis","raw_affiliation_strings":["KTH, Stockholm, Sweden"],"raw_orcid":"https://orcid.org/0000-0003-0639-0639","affiliations":[{"raw_affiliation_string":"KTH, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059144069","display_name":"\u00d3scar Quevedo-Teruel","orcid":"https://orcid.org/0000-0002-4900-4788"},"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":"Oscar Quevedo-Teruel","raw_affiliation_strings":["KTH, Stockholm, Sweden"],"raw_orcid":"https://orcid.org/0000-0002-4900-4788","affiliations":[{"raw_affiliation_string":"KTH, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I86987016"],"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":"109","last_page":"116"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.8648999929428101,"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":0.8648999929428101,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.026100000366568565,"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/T11321","display_name":"Error Correcting Code Techniques","score":0.008799999952316284,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/quantum","display_name":"Quantum","score":0.6402999758720398},{"id":"https://openalex.org/keywords/quantum-annealing","display_name":"Quantum annealing","score":0.6193000078201294},{"id":"https://openalex.org/keywords/quantum-computer","display_name":"Quantum computer","score":0.5450999736785889},{"id":"https://openalex.org/keywords/coupling","display_name":"Coupling (piping)","score":0.534600019454956},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5333999991416931},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5170999765396118},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4325000047683716},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.4307999908924103}],"concepts":[{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.6402999758720398},{"id":"https://openalex.org/C90408235","wikidata":"https://www.wikidata.org/wiki/Q938141","display_name":"Quantum annealing","level":4,"score":0.6193000078201294},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6111000180244446},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.5450999736785889},{"id":"https://openalex.org/C131584629","wikidata":"https://www.wikidata.org/wiki/Q4308705","display_name":"Coupling (piping)","level":2,"score":0.534600019454956},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5333999991416931},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5170999765396118},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4325000047683716},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.4307999908924103},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.4244999885559082},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.413100004196167},{"id":"https://openalex.org/C51329190","wikidata":"https://www.wikidata.org/wiki/Q1076349","display_name":"Ising model","level":2,"score":0.40709999203681946},{"id":"https://openalex.org/C177179195","wikidata":"https://www.wikidata.org/wiki/Q7268372","display_name":"Quadratic unconstrained binary optimization","level":4,"score":0.39259999990463257},{"id":"https://openalex.org/C137019171","wikidata":"https://www.wikidata.org/wiki/Q2623817","display_name":"Quantum algorithm","level":3,"score":0.37720000743865967},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.375900000333786},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.3668000102043152},{"id":"https://openalex.org/C148043351","wikidata":"https://www.wikidata.org/wiki/Q4456944","display_name":"Current (fluid)","level":2,"score":0.34060001373291016},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3319000005722046},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.299699991941452},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.2985000014305115},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2718999981880188},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.2565000057220459},{"id":"https://openalex.org/C81845259","wikidata":"https://www.wikidata.org/wiki/Q290117","display_name":"Quadratic programming","level":2,"score":0.2563000023365021}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3774895.3815550","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774895.3815550","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th ACM International Conference on Supercomputing - Workshops","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2605.06048","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2605.06048","pdf_url":"https://arxiv.org/pdf/2605.06048","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,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3774895.3815550","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774895.3815550","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th ACM International Conference on Supercomputing - Workshops","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2522058954","display_name":null,"funder_award_id":"SEE-6GIA 2024-06482","funder_id":"https://openalex.org/F4320322581","funder_display_name":"Vetenskapsr\u00e5det"}],"funders":[{"id":"https://openalex.org/F4320322581","display_name":"Vetenskapsr\u00e5det","ror":"https://ror.org/03zttf063"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1568345435","https://openalex.org/W2947849003","https://openalex.org/W2964121744","https://openalex.org/W2998467804","https://openalex.org/W3021587675","https://openalex.org/W3159402647","https://openalex.org/W4251842387","https://openalex.org/W4285031017","https://openalex.org/W4360897659","https://openalex.org/W4389626908","https://openalex.org/W4392539457","https://openalex.org/W4402300107","https://openalex.org/W4404132548","https://openalex.org/W4405361499","https://openalex.org/W4407160020","https://openalex.org/W7115702750"],"related_works":[],"abstract_inverted_index":{"Optimizing":[0],"Reconfigurable":[1],"Intelligent":[2],"Surfaces":[3],"(RIS)":[4],"is":[5,123],"a":[6,32,77,85,130],"high-dimensional":[7],"combinatorial":[8],"challenge.":[9],"Current":[10],"quantum":[11,93,121,139],"algorithms":[12],"often":[13],"simplify":[14],"this":[15],"problem":[16],"by":[17],"ignoring":[18],"physical":[19,74],"constraints":[20],"like":[21],"mutual":[22,44],"coupling,":[23],"which":[24],"significantly":[25],"degrades":[26],"real-world":[27],"performance.":[28],"Rather":[29],"than":[30],"targeting":[31],"fully":[33,72],"realistic":[34],"RIS":[35],"description,":[36],"we":[37,116],"embed":[38],"progressively":[39],"more":[40],"physics-informed":[41,120],"models":[42,58,128],"of":[43],"coupling":[45,99],"into":[46],"Quadratic":[47],"Unconstrained":[48],"Binary":[49],"Optimization":[50,64],"(QUBO)":[51],"formulations.":[52],"We":[53],"evaluate":[54],"four":[55],"Ising":[56],"interaction":[57],"(Jij)":[59],"for":[60,133],"the":[61],"Quantum":[62],"Approximate":[63],"Algorithm":[65],"(QAOA),":[66],"ranging":[67],"from":[68],"idealized":[69],"phase-only":[70],"to":[71],"dense":[73,103],"models.":[75],"Analyzing":[76],"5":[78,80],"\u00d7":[79],"grid,":[81],"our":[82],"results":[83],"expose":[84],"critical":[86],"trade-off":[87],"between":[88],"spatial":[89],"pointing":[90],"accuracy":[91],"and":[92,109],"hardware":[94],"feasibility.":[95],"While":[96],"complete":[97],"global":[98],"maximizes":[100],"beamforming":[101],"precision,":[102],"Hamiltonians":[104],"introduce":[105],"prohibitive":[106],"routing":[107],"overhead":[108],"complicate":[110],"convergence":[111],"on":[112,135],"near-term":[113],"processors.":[114],"Ultimately,":[115],"demonstrate":[117],"that":[118],"while":[119],"optimization":[122],"mathematically":[124],"viable,":[125],"sparse,":[126],"distance-penalized":[127],"remain":[129],"necessary":[131],"compromise":[132],"execution":[134],"current":[136],"noisy":[137],"intermediate-scale":[138],"(NISQ)":[140],"devices.":[141]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-07-01T00:00:00"}
