@prefix dcterms: <http://purl.org/dc/terms/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@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 pico: <http://data.cochrane.org/ontologies/pico/> .
@prefix prov: <http://www.w3.org/ns/prov#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix sciencelive: <https://w3id.org/sciencelive/o/terms/> .
@prefix sub1: <https://w3id.org/np/RASr_5SP0NhXfz43auGCrxon4_kUUj0AfA56gW13Yfqak/> .
@prefix this: <https://w3id.org/np/RASr_5SP0NhXfz43auGCrxon4_kUUj0AfA56gW13Yfqak> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

sub1:Head {
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    np:hasPublicationInfo sub1:pubinfo;
    a np:Nanopublication .
}

sub1:assertion {
  sub1:comparatorGroup dcterms:description "Classical computational methods including traditional machine learning, simulated annealing, genetic algorithms, and standard statistical approaches (MCMC, maximum likelihood, Bayesian methods)" .
  
  sub1:interventionGroup dcterms:description "Quantum computing approaches and quantum-inspired algorithms, including quantum machine learning, quantum optimization (e.g., quantum annealing, QAOA), quantum-enhanced MCMC, and quantum community detection methods" .
  
  sub1:outcomeGroup dcterms:description "Characterization of application domains, computational advantages demonstrated, hardware requirements, scalability assessments, and readiness for operational biodiversity research and conservation practice" .
  
  sub1:population dcterms:description "Biodiversity research domains including species distribution modeling, conservation planning, population genetics, ecological network analysis, and ecosystem dynamics simulation" .
  
  sub1:quantum-computing-applications-for-biodiversity-re pico:comparatorGroup sub1:comparatorGroup;
    pico:interventionGroup sub1:interventionGroup;
    pico:outcomeGroup sub1:outcomeGroup;
    pico:population sub1:population;
    dcterms:description "What quantum computing and quantum-inspired approaches have been applied or proposed for biodiversity research and conservation, and what evidence exists for their computational advantages over classical methods?";
    a pico:PICO, sciencelive:DescriptiveResearchQuestion;
    rdfs:label "Quantum Computing Applications for Biodiversity Research and Conservation: A Scoping Review" .
}

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

sub1:pubinfo {
  orcid:0000-0002-1784-2920 foaf:name "Anne Fouilloux" .
  
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    dcterms:license <https://creativecommons.org/licenses/by/4.0/>;
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    rdfs:label "PICO Research Question: Quantum Computing Applications for Biodiversity Research and Conservation...";
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