@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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  sub1:sig npx:hasAlgorithm "RSA" ;
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    npx:hasSignatureTarget this: ;
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}