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quant-ph2024
Learning symmetry-protected topological order from trapped-ion experiments
Nicolas Sadoune, Ivan Pogorelov, Claire L. Edmunds +6
Classical machine learning has proven remarkably useful in post-processing quantum data, yet typical learning algorithms often require prior training to be effective. In this work,…
quant-ph2022★ 9 cited
Unsupervised Interpretable Learning of Phases From Many-Qubit Systems
Nicolas Sadoune, Giuliano Giudici, Ke Liu +1
Experimental progress in qubit manufacturing calls for the development of new theoretical tools to analyze quantum data. We show how an unsupervised machine-learning technique can…