{"id":"https://openalex.org/W7102961047","doi":"https://doi.org/10.48550/arxiv.2510.25183","title":"Sustainable NARMA-10 Benchmarking for Quantum Reservoir Computing","display_name":"Sustainable NARMA-10 Benchmarking for Quantum Reservoir Computing","publication_year":2025,"publication_date":"2025-10-27","ids":{"openalex":"https://openalex.org/W7102961047","doi":"https://doi.org/10.48550/arxiv.2510.25183"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2510.25183","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2510.25183","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2510.25183","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Kodali, Avyay","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kodali, Avyay","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Singh, Priyanshi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Singh, Priyanshi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Pandey, Pranay","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pandey, Pranay","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Bhatia, Krishna","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bhatia, Krishna","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Devendrababu, Shalini","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Devendrababu, Shalini","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Ganguly, Srinjoy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ganguly, Srinjoy","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"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":true,"primary_topic":{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9672999978065491,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9672999978065491,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.004999999888241291,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.004100000020116568,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reservoir-computing","display_name":"Reservoir computing","score":0.9423999786376953},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.5651000142097473},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.4997999966144562},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4706999957561493},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.44760000705718994},{"id":"https://openalex.org/keywords/sustainability","display_name":"Sustainability","score":0.42489999532699585},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.3968000113964081}],"concepts":[{"id":"https://openalex.org/C135796866","wikidata":"https://www.wikidata.org/wiki/Q7315328","display_name":"Reservoir computing","level":4,"score":0.9423999786376953},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6492000222206116},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.5651000142097473},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.4997999966144562},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4706999957561493},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.44760000705718994},{"id":"https://openalex.org/C66204764","wikidata":"https://www.wikidata.org/wiki/Q219416","display_name":"Sustainability","level":2,"score":0.42489999532699585},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.3968000113964081},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3587000072002411},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3528999984264374},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.32499998807907104},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.3052000105381012},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.30000001192092896},{"id":"https://openalex.org/C14641988","wikidata":"https://www.wikidata.org/wiki/Q7315329","display_name":"Reservoir modeling","level":2,"score":0.2915000021457672},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.29100000858306885},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.2897000014781952},{"id":"https://openalex.org/C552854447","wikidata":"https://www.wikidata.org/wiki/Q131201","display_name":"Sustainable development","level":2,"score":0.28859999775886536},{"id":"https://openalex.org/C2778668878","wikidata":"https://www.wikidata.org/wiki/Q6380338","display_name":"Reservoir simulation","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.26350000500679016},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2614000141620636}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2510.25183","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2510.25183","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2510.25183","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2510.25183","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"score":0.4214199185371399,"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"study":[1],"compares":[2],"Quantum":[3],"Reservoir":[4],"Computing":[5],"(QRC)":[6],"with":[7],"classical":[8],"models":[9],"such":[10],"as":[11,22,24],"Echo":[12],"State":[13],"Networks":[14],"(ESNs)":[15],"and":[16,44],"Long":[17],"Short-Term":[18],"Memory":[19],"networks":[20],"(LSTMs),":[21],"well":[23],"hybrid":[25],"quantum-classical":[26],"architectures":[27],"(QLSTM),":[28],"for":[29,66],"the":[30],"nonlinear":[31],"autoregressive":[32],"moving":[33],"average":[34],"task":[35],"(NARMA-10).":[36],"We":[37],"evaluate":[38],"forecasting":[39],"accuracy":[40,53],"(NRMSE),":[41],"computational":[42],"cost,":[43],"evaluation":[45],"time.":[46],"Results":[47],"show":[48],"that":[49],"QRC":[50],"achieves":[51],"competitive":[52],"while":[54],"offering":[55],"potential":[56],"sustainability":[57],"advantages,":[58],"particularly":[59],"in":[60],"resource-constrained":[61],"settings,":[62],"highlighting":[63],"its":[64],"promise":[65],"sustainable":[67],"time-series":[68],"AI":[69],"applications.":[70]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-31T00:00:00"}
