Talk:Machine learning in physics

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Text and/or other creative content from this version of Quantum machine learning was copied or moved into Machine learning in physics with this edit. The former page's history now serves to provide attribution for that content in the latter page, and it must not be deleted as long as the latter page exists.

Focused on quantum physics

This is a list of applications of machine learning to quantum physics, not to physics in general. It should be called "Machine learning in quantum physics" or enriched with other content. ML is widely used in data analysis, and I'm quite sure there will be plenty of examples of ML used in experimental physics. Neural networks were used to approximate parton distribution functions already 15 years ago. Today the idea of using ML for analysing the output of LHC sensors and the like is being considered, etc.