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://purl.org/spar/cito/> .
@prefix nt: <https://w3id.org/np/o/ntemplate/> .
@prefix orcid: <https://orcid.org/> .
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@prefix sub: <https://w3id.org/np/RA22cff6843fd2849702881a7110219c7b62a4ef99a35/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

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    np:hasProvenance sub:provenance ;
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sub:assertion {
  <https://doi.org/10.48550/arXiv.2504.03866> dcterms:isPartOf <https://w3id.org/np/RAvk9pmoZ2IberoDe7zUWV0bVithiy6CnbSG5y06YuKM0/quantum-computing-applications-for-biodiversity-re> ;
    ns1:hasQuotedText "For problems where a classical computer might require millions of years to find the optimal solution, a quantum computer could explore the solution space in parallel and arrive at an answer within a few hours." ;
    rdfs:comment "Illustrates the potential magnitude of quantum advantage for combinatorial optimization problems common in ecology. This exponential speedup scenario represents the theoretical upper bound of benefits, though practical realization depends on fault-tolerant quantum computing which is not yet available. Important context for setting realistic expectations in biodiversity applications." .
  orcid:0000-0002-1784-2920 ns1:quotes <https://doi.org/10.48550/arXiv.2504.03866> .
}

sub:provenance {
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sub: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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