Open access
Jul 2026
The role of data-induced randomness in quantum machine learning classification tasks
A metric for binary classification tasks, the class margin, is introduced, which analytically connects data-induced randomness with classification accuracy for a given data-embedding map, demonstrating its ability to identify data-induced randomness that hinders classification performance.
Berta Casas, Xavier Bonet-Monroig, Adrián Pérez-Salinas
· npj Quantum Information · 0 citations