https://w3id.org/np/RA8B3ptXUOsN7obpkFGtA0FBmsh0OnID53wOsUIpSKTcg/Head https://w3id.org/np/RA8B3ptXUOsN7obpkFGtA0FBmsh0OnID53wOsUIpSKTcg http://www.nanopub.org/nschema#hasAssertion https://w3id.org/np/RA8B3ptXUOsN7obpkFGtA0FBmsh0OnID53wOsUIpSKTcg/assertion https://w3id.org/np/RA8B3ptXUOsN7obpkFGtA0FBmsh0OnID53wOsUIpSKTcg http://www.nanopub.org/nschema#hasProvenance https://w3id.org/np/RA8B3ptXUOsN7obpkFGtA0FBmsh0OnID53wOsUIpSKTcg/provenance https://w3id.org/np/RA8B3ptXUOsN7obpkFGtA0FBmsh0OnID53wOsUIpSKTcg http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/np/RA8B3ptXUOsN7obpkFGtA0FBmsh0OnID53wOsUIpSKTcg/pubinfo https://w3id.org/np/RA8B3ptXUOsN7obpkFGtA0FBmsh0OnID53wOsUIpSKTcg http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/np/RA8B3ptXUOsN7obpkFGtA0FBmsh0OnID53wOsUIpSKTcg/assertion https://w3id.org/np/RAfZfE1gbUtc35W7xT12XTO0ptZwycN2-jj7Jow6COAoQ/research-question http://purl.org/dc/terms/audience Biodiversity research domains including species distribution modeling, conservation planning, population genetics, ecological network analysis, and ecosystem dynamics simulation https://w3id.org/np/RAfZfE1gbUtc35W7xT12XTO0ptZwycN2-jj7Jow6COAoQ/research-question http://purl.org/dc/terms/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? https://w3id.org/np/RAfZfE1gbUtc35W7xT12XTO0ptZwycN2-jj7Jow6COAoQ/research-question http://purl.org/dc/terms/relation Classical computational methods including traditional machine learning, simulated annealing, genetic algorithms, and standard statistical approaches (MCMC, maximum likelihood, Bayesian methods) https://w3id.org/np/RAfZfE1gbUtc35W7xT12XTO0ptZwycN2-jj7Jow6COAoQ/research-question http://purl.org/dc/terms/subject 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 https://w3id.org/np/RAfZfE1gbUtc35W7xT12XTO0ptZwycN2-jj7Jow6COAoQ/research-question http://purl.org/dc/terms/title Quantum Computing Applications for Biodiversity Research and Conservation: A Scoping Review https://w3id.org/np/RAfZfE1gbUtc35W7xT12XTO0ptZwycN2-jj7Jow6COAoQ/research-question http://purl.org/dc/terms/type https://w3id.org/np/RAfZfE1gbUtc35W7xT12XTO0ptZwycN2-jj7Jow6COAoQ/descriptive https://w3id.org/np/RAfZfE1gbUtc35W7xT12XTO0ptZwycN2-jj7Jow6COAoQ/research-question http://schema.org/expectedResult Characterization of application domains, computational advantages demonstrated, hardware requirements, scalability assessments, and readiness for operational biodiversity research and conservation practice https://w3id.org/np/RAfZfE1gbUtc35W7xT12XTO0ptZwycN2-jj7Jow6COAoQ/research-question http://www.w3.org/2000/01/rdf-schema#comment Quantum computing is emerging as a potential paradigm shift for ecology (Sherley et al. 2023, Clenet et al. 2025). Applications include conservation planning optimization (Microsoft/Marxan), species distribution modeling, population genetics, and ecological network analysis. 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