@prefix cito: <http://purl.org/spar/cito/> .
@prefix dcterms: <http://purl.org/dc/terms/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix hycl: <http://purl.org/petapico/o/hycl#> .
@prefix np: <http://www.nanopub.org/nschema#> .
@prefix npx: <http://purl.org/nanopub/x/> .
@prefix nt: <https://w3id.org/np/o/ntemplate/> .
@prefix orcid: <https://orcid.org/> .
@prefix prov: <http://www.w3.org/ns/prov#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix schema1: <http://schema.org/> .
@prefix sub1: <https://w3id.org/np/RAHy0Q6a58PaBFAljetALzmE57Xhq2ZyYccSFT1Vqk-kI/> .
@prefix this: <https://w3id.org/np/RAHy0Q6a58PaBFAljetALzmE57Xhq2ZyYccSFT1Vqk-kI> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

sub1:Head {
  this: np:hasAssertion sub1:assertion;
    np:hasProvenance sub1:provenance;
    np:hasPublicationInfo sub1:pubinfo;
    a np:Nanopublication .
}

sub1:assertion {
  <http://purl.org/aida/Quantum%20algorithms%20for%20Gaussian%20process%20regression%20can%20achieve%20exponential%20speedup%20when%20the%20covariance%20matrix%20is%20sparse.>
    dcterms:isPartOf <https://w3id.org/np/RAvk9pmoZ2IberoDe7zUWV0bVithiy6CnbSG5y06YuKM0/quantum-computing-applications-for-biodiversity-re>;
    cito:obtainsSupportFrom <https://arxiv.org/abs/2504.03866>;
    schema1:about <http://www.wikidata.org/entity/Q1496376>, <http://www.wikidata.org/entity/Q17995793>;
    a hycl:AIDA-Sentence .
}

sub1:provenance {
  sub1:assertion prov:wasAttributedTo orcid:0000-0002-1784-2920 .
}

sub1:pubinfo {
  <http://www.wikidata.org/entity/Q1496376> nt:hasLabelFromApi "Gaussian process" .
  
  <http://www.wikidata.org/entity/Q17995793> nt:hasLabelFromApi "quantum computing" .
  
  orcid:0000-0002-1784-2920 foaf:name "Anne Fouilloux" .
  
  this: dcterms:created "2026-01-10T20:19:46.000Z"^^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%20algorithms%20for%20Gaussian%20process%20regression%20can%20achieve%20exponential%20speedup%20when%20the%20covariance%20matrix%20is%20sparse.>;
    npx:wasCreatedAt <https://nanodash.knowledgepixels.com/>;
    rdfs:label "AIDA sentence: Quantum algorithms for Gaussian process regression can achieve exponential speedup when the covarian...";
    nt:wasCreatedFromProvenanceTemplate <https://w3id.org/np/RA7lSq6MuK_TIC6JMSHvLtee3lpLoZDOqLJCLXevnrPoU>;
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    nt:wasCreatedFromTemplate <https://w3id.org/np/RALmXhDw3rHcMveTgbv8VtWxijUHwnSqhCmtJFIPKWVaA> .
  
  sub1:sig npx:hasAlgorithm "RSA";
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}