. . . . "Classical computational methods including traditional machine learning, simulated annealing, genetic algorithms, and standard statistical approaches (MCMC, maximum likelihood, Bayesian methods)" . "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" . "Characterization of application domains, computational advantages demonstrated, hardware requirements, scalability assessments, and readiness for operational biodiversity research and conservation practice" . "Biodiversity research domains including species distribution modeling, conservation planning, population genetics, ecological network analysis, and ecosystem dynamics simulation" . . . . . "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?" . . . "Quantum Computing Applications for Biodiversity Research and Conservation: A Scoping Review" . . "Anne Fouilloux" . "2025-12-29T21:43:22.537000+00:00"^^ . . . . . . "PICO Research Question: Quantum Computing Applications for Biodiversity Research and Conservation..." . . . . . . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAosxbitQQzLXi1949Zd9JmSkGfYHHlj/CZZ7iiYs1TrZ5/Jk/wGA7kHEv7f9NtsinOdBo9EtHj/jgHE5W2Vv404JbOAY280PvH5Jns5ObWdVZmtHeCw0ZIdPEqNrurrEweKhzcTJW/YRpYWPwVPo47XyIW6IAcmx6gfdtmdPddMpplqExrP6G99ksXfXlZI0InQtZJRSGK5lYLLNzaofFtupPI5OAAGjooDyHijp0Ap2HIXH6WpO4S44cFPKU34pH2xhIY4/XT5DG1X5UoiVHs2Yoo30BHFudj/kAFwdzcy6Yh4tMDaB3ox6p7pi267d7n0y7kypC0Nt+hfgHQ1FpgwIDAQAB" . "e9U5BxPTJ5lGSvddSwVQc0u3MiYcFT0ncufOcNNAl/LvMrGGS7JtCKveb15oUcbh07QHKBx2E/U8dUFZQFgehrp+bX898YoqHJYDAfiQFoV92rB7+sIZFWFJV37C0reLDEK+nDs+sEh44xxQbXTLCCpys65PVZ8GN1wrnZZ9LGyH6MqejV+eQjfQa+MizzMu/F03QAvNI/z4ERTv0792lheePL+SrBr/5GCRuISizTgYdvaTxHxATW4KL8Vaqys4Pii8rvNXYvKFtHWJbwhLLNFKUqIJI0j5hfV+O1b/0p6au3+/32YU/Fr+Xk7dUJJYyLhiz6UDtUs81m4oTVXzXQ==" . . .