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<https://w3id.org/np/RAs1fOQDhSTB_fNKKpVl2hYq7VS6n7gD29_D_5cNQsyok> <http://www.nanopub.org/nschema#hasProvenance> <https://w3id.org/np/RAbe1ffda58109e091214d4be1059cc4c20c18495d5ef/provenance> <https://w3id.org/np/RAbe1ffda58109e091214d4be1059cc4c20c18495d5ef/Head> .
<https://w3id.org/np/RAs1fOQDhSTB_fNKKpVl2hYq7VS6n7gD29_D_5cNQsyok> <http://www.nanopub.org/nschema#hasPublicationInfo> <https://w3id.org/np/RAbe1ffda58109e091214d4be1059cc4c20c18495d5ef/pubinfo> <https://w3id.org/np/RAbe1ffda58109e091214d4be1059cc4c20c18495d5ef/Head> .
<https://w3id.org/np/RAs1fOQDhSTB_fNKKpVl2hYq7VS6n7gD29_D_5cNQsyok> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://www.nanopub.org/nschema#Nanopublication> <https://w3id.org/np/RAbe1ffda58109e091214d4be1059cc4c20c18495d5ef/Head> .
<http://purl.org/aida/Quantum%20approximate%20optimization%20algorithms%20outperform%20classical%20methods%20for%20disjoint%20network%20motif%20identification%20in%20biological%20networks.> <http://purl.org/spar/cito/obtainsSupportFrom> <https://doi.org/10.1093/bioadv/vbae208> <https://w3id.org/np/RAbe1ffda58109e091214d4be1059cc4c20c18495d5ef/assertion> .
<http://purl.org/aida/Quantum%20approximate%20optimization%20algorithms%20outperform%20classical%20methods%20for%20disjoint%20network%20motif%20identification%20in%20biological%20networks.> <http://schema.org/about> <http://www.wikidata.org/entity/Q17137535> <https://w3id.org/np/RAbe1ffda58109e091214d4be1059cc4c20c18495d5ef/assertion> .
<http://purl.org/aida/Quantum%20approximate%20optimization%20algorithms%20outperform%20classical%20methods%20for%20disjoint%20network%20motif%20identification%20in%20biological%20networks.> <http://schema.org/about> <http://www.wikidata.org/entity/Q47536> <https://w3id.org/np/RAbe1ffda58109e091214d4be1059cc4c20c18495d5ef/assertion> .
<http://purl.org/aida/Quantum%20approximate%20optimization%20algorithms%20outperform%20classical%20methods%20for%20disjoint%20network%20motif%20identification%20in%20biological%20networks.> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://purl.org/petapico/o/hycl#AIDA-Sentence> <https://w3id.org/np/RAbe1ffda58109e091214d4be1059cc4c20c18495d5ef/assertion> .
<https://w3id.org/np/RAbe1ffda58109e091214d4be1059cc4c20c18495d5ef/assertion> <http://www.w3.org/ns/prov#wasAttributedTo> <https://orcid.org/0000-0002-1784-2920> <https://w3id.org/np/RAbe1ffda58109e091214d4be1059cc4c20c18495d5ef/provenance> .
<http://www.wikidata.org/entity/Q17137535> <https://w3id.org/np/o/ntemplate/hasLabelFromApi> "network motif" <https://w3id.org/np/RAbe1ffda58109e091214d4be1059cc4c20c18495d5ef/pubinfo> .
<http://www.wikidata.org/entity/Q47536> <https://w3id.org/np/o/ntemplate/hasLabelFromApi> "quantum computing" <https://w3id.org/np/RAbe1ffda58109e091214d4be1059cc4c20c18495d5ef/pubinfo> .
<https://orcid.org/0000-0002-1784-2920> <http://xmlns.com/foaf/0.1/name> "Anne Fouilloux" <https://w3id.org/np/RAbe1ffda58109e091214d4be1059cc4c20c18495d5ef/pubinfo> .
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<https://w3id.org/np/RAs1fOQDhSTB_fNKKpVl2hYq7VS6n7gD29_D_5cNQsyok> <http://purl.org/dc/terms/creator> <https://orcid.org/0000-0002-1784-2920> <https://w3id.org/np/RAbe1ffda58109e091214d4be1059cc4c20c18495d5ef/pubinfo> .
<https://w3id.org/np/RAs1fOQDhSTB_fNKKpVl2hYq7VS6n7gD29_D_5cNQsyok> <http://purl.org/dc/terms/license> <https://creativecommons.org/licenses/by/4.0/> <https://w3id.org/np/RAbe1ffda58109e091214d4be1059cc4c20c18495d5ef/pubinfo> .
<https://w3id.org/np/RAs1fOQDhSTB_fNKKpVl2hYq7VS6n7gD29_D_5cNQsyok> <http://purl.org/nanopub/x/hasNanopubType> <http://purl.org/petapico/o/hycl#AIDA-Sentence> <https://w3id.org/np/RAbe1ffda58109e091214d4be1059cc4c20c18495d5ef/pubinfo> .
<https://w3id.org/np/RAs1fOQDhSTB_fNKKpVl2hYq7VS6n7gD29_D_5cNQsyok> <http://purl.org/nanopub/x/hasNanopubType> <http://purl.org/petapico/o/hycl> <https://w3id.org/np/RAbe1ffda58109e091214d4be1059cc4c20c18495d5ef/pubinfo> .
<https://w3id.org/np/RAs1fOQDhSTB_fNKKpVl2hYq7VS6n7gD29_D_5cNQsyok> <http://purl.org/nanopub/x/introduces> <http://purl.org/aida/Quantum%20approximate%20optimization%20algorithms%20outperform%20classical%20methods%20for%20disjoint%20network%20motif%20identification%20in%20biological%20networks.> <https://w3id.org/np/RAbe1ffda58109e091214d4be1059cc4c20c18495d5ef/pubinfo> .
<https://w3id.org/np/RAs1fOQDhSTB_fNKKpVl2hYq7VS6n7gD29_D_5cNQsyok> <http://purl.org/nanopub/x/wasCreatedAt> <https://nanodash.knowledgepixels.com/> <https://w3id.org/np/RAbe1ffda58109e091214d4be1059cc4c20c18495d5ef/pubinfo> .
<https://w3id.org/np/RAs1fOQDhSTB_fNKKpVl2hYq7VS6n7gD29_D_5cNQsyok> <http://www.w3.org/2000/01/rdf-schema#label> "AIDA sentence: Quantum approximate optimization algorithms outperform classical methods for disjoint network motif ..." <https://w3id.org/np/RAbe1ffda58109e091214d4be1059cc4c20c18495d5ef/pubinfo> .
<https://w3id.org/np/RAs1fOQDhSTB_fNKKpVl2hYq7VS6n7gD29_D_5cNQsyok> <https://w3id.org/np/o/ntemplate/wasCreatedFromProvenanceTemplate> <https://w3id.org/np/RA7lSq6MuK_TIC6JMSHvLtee3lpLoZDOqLJCLXevnrPoU> <https://w3id.org/np/RAbe1ffda58109e091214d4be1059cc4c20c18495d5ef/pubinfo> .
<https://w3id.org/np/RAs1fOQDhSTB_fNKKpVl2hYq7VS6n7gD29_D_5cNQsyok> <https://w3id.org/np/o/ntemplate/wasCreatedFromPubinfoTemplate> <https://w3id.org/np/RA0J4vUn_dekg-U1kK3AOEt02p9mT2WO03uGxLDec1jLw> <https://w3id.org/np/RAbe1ffda58109e091214d4be1059cc4c20c18495d5ef/pubinfo> .
<https://w3id.org/np/RAs1fOQDhSTB_fNKKpVl2hYq7VS6n7gD29_D_5cNQsyok> <https://w3id.org/np/o/ntemplate/wasCreatedFromPubinfoTemplate> <https://w3id.org/np/RAukAcWHRDlkqxk7H2XNSegc1WnHI569INvNr-xdptDGI> <https://w3id.org/np/RAbe1ffda58109e091214d4be1059cc4c20c18495d5ef/pubinfo> .
<https://w3id.org/np/RAs1fOQDhSTB_fNKKpVl2hYq7VS6n7gD29_D_5cNQsyok> <https://w3id.org/np/o/ntemplate/wasCreatedFromTemplate> <https://w3id.org/np/RALmXhDw3rHcMveTgbv8VtWxijUHwnSqhCmtJFIPKWVaA> <https://w3id.org/np/RAbe1ffda58109e091214d4be1059cc4c20c18495d5ef/pubinfo> .
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<https://w3id.org/np/RAs1fOQDhSTB_fNKKpVl2hYq7VS6n7gD29_D_5cNQsyok/sig> <http://purl.org/nanopub/x/hasSignatureTarget> <https://w3id.org/np/RAs1fOQDhSTB_fNKKpVl2hYq7VS6n7gD29_D_5cNQsyok> <https://w3id.org/np/RAbe1ffda58109e091214d4be1059cc4c20c18495d5ef/pubinfo> .
<https://w3id.org/np/RAs1fOQDhSTB_fNKKpVl2hYq7VS6n7gD29_D_5cNQsyok/sig> <http://purl.org/nanopub/x/signedBy> <https://orcid.org/0000-0002-1784-2920> <https://w3id.org/np/RAbe1ffda58109e091214d4be1059cc4c20c18495d5ef/pubinfo> .