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An introduction to Bayesian simulation-based inference for quantum machine learning with examples

Simulation is an indispensable tool in both engineering and the sciences. In simulation-based modeling, a parametric simulator is adopted as a mechanistic model of a physical system. The problem of designing algorithms that optimize the simulator parameters is the focus of the emerging field of simu...

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Bibliografische Detailangaben
Hauptverfasser: Ivana Nikoloska, Osvaldo Simeone
Format: Artigo
Sprache:Inglês
Veröffentlicht: Frontiers Media S.A. 2024-08-01
Schriftenreihe:Frontiers in Quantum Science and Technology
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Online-Zugang:https://www.frontiersin.org/articles/10.3389/frqst.2024.1394533/full
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