Explainable representation learning of small quantum states

Unsupervised machine learning models build an internal representation of their training data without the need for explicit human guidance or feature engineering. This learned representation provides insights into which features of the data are relevant for the task at hand. In the context of quantum...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Felix Frohnert, Evert van Nieuwenburg
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	IOP Publishing 2024-01-01
Σειρά:	Machine Learning: Science and Technology
Θέματα:	interpretable machine learning quantum physics representation learning of quantum systems
Διαθέσιμο Online:	https://doi.org/10.1088/2632-2153/ad16a0
Ετικέτες:	Προσθήκη ετικέτας Δεν υπάρχουν, Καταχωρήστε ετικέτα πρώτοι!