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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| Автори: | , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Frontiers Media S.A.
2024-08-01
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| Серія: | Frontiers in Quantum Science and Technology |
| Предмети: | |
| Онлайн доступ: | https://www.frontiersin.org/articles/10.3389/frqst.2024.1394533/full |
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