Nanopublications

@prefix dcterms: <http://purl.org/dc/terms/> .
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@prefix np: <http://www.nanopub.org/nschema#> .
@prefix npx: <http://purl.org/nanopub/x/> .
@prefix ns1: <http://schema.org/> .
@prefix ns2: <http://purl.org/spar/cito/> .
@prefix nt: <https://w3id.org/np/o/ntemplate/> .
@prefix orcid: <https://orcid.org/> .
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@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix sub: <https://w3id.org/np/RAeed659d8a3361b3b074318b7d5d20e6c6285cf9d744/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

sub:Head {
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    np:hasProvenance sub:provenance ;
    np:hasPublicationInfo sub:pubinfo ;
    a np:Nanopublication .
}

sub:assertion {
  <http://purl.org/aida/Quantum%20linear%20regression%20algorithms%20can%20scale%20logarithmically%20with%20the%20number%20of%20observations%2C%20offering%20potential%20exponential%20speedup%20over%20classical%20methods.> dcterms:isPartOf <https://w3id.org/np/RAvk9pmoZ2IberoDe7zUWV0bVithiy6CnbSG5y06YuKM0/quantum-computing-applications-for-biodiversity-re> ;
    ns2:obtainsSupportFrom <https://arxiv.org/abs/2504.03866> ;
    ns1:about <http://www.wikidata.org/entity/Q10861030> , <http://www.wikidata.org/entity/Q17995793> ;
    a hycl:AIDA-Sentence .
}

sub:provenance {
sub:assertion prov:wasAttributedTo orcid:0000-0002-1784-2920 .
}

sub:pubinfo {
  <http://www.wikidata.org/entity/Q10861030> nt:hasLabelFromApi "linear regression" .
  <http://www.wikidata.org/entity/Q17995793> nt:hasLabelFromApi "quantum computing" .
  orcid:0000-0002-1784-2920 foaf:name "Anne Fouilloux" .
  <https://w3id.org/np/RAgw6UNb7oGkT2nE2dv1Zzvj4hLNXwwUaQ_TcDjdRuqA8> dcterms:created "2026-01-06T19:45:50.611Z"^^xsd:dateTime ;
    dcterms:creator orcid:0000-0002-1784-2920 ;
    dcterms:license <https://creativecommons.org/licenses/by/4.0/> ;
    npx:hasNanopubType hycl:AIDA-Sentence , <http://purl.org/petapico/o/hycl> ;
    npx:introduces <http://purl.org/aida/Quantum%20linear%20regression%20algorithms%20can%20scale%20logarithmically%20with%20the%20number%20of%20observations%2C%20offering%20potential%20exponential%20speedup%20over%20classical%20methods.> ;
    npx:wasCreatedAt <https://nanodash.knowledgepixels.com/> ;
    rdfs:label "AIDA sentence: Quantum linear regression algorithms can scale logarithmically with the number of observations, offe..." ;
    nt:wasCreatedFromProvenanceTemplate <https://w3id.org/np/RA7lSq6MuK_TIC6JMSHvLtee3lpLoZDOqLJCLXevnrPoU> ;
    nt:wasCreatedFromPubinfoTemplate <https://w3id.org/np/RA0J4vUn_dekg-U1kK3AOEt02p9mT2WO03uGxLDec1jLw> , <https://w3id.org/np/RAukAcWHRDlkqxk7H2XNSegc1WnHI569INvNr-xdptDGI> .
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}