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characterization of plant-associated microbial strains (fungi and/or bacteria) using classical microbiological techniques and, preferably, molecular methods. Workplan and objectives to be achieved: The work plan
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. In this project, we will explore quantum versions of density-based clustering algorithms. We will apply quantum computing primitives like quantum amplitude amplification and estimation to clustering
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, classification, and characterization of signals, with particular emphasis on low-amplitude transient signals and the robust estimation of their parameters. Applicable legislation and regulations: Research Fellow
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skills (proficiency in English, computer and laboratory skills), weighted at 20%. The final classification of the applicant’s merit with the achieved through the following formula: AM=(A1*0,4) +(A2*0,4
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theoretical analysis and numerical simulations, drawing on tools from quantum parameter estimation and quantum information, to analyse quantum-enhanced temporal measurement protocols, quantify the precision