Transfer Entropy and O-Information to Detect Grokking in Tensor Network Multi-Class Classification Problems

Quantum-enhanced machine learning, encompassing both quantum algorithms and quantum-inspired classical methods such as tensor networks, offers promising tools for extracting structure from complex, high-dimensional data. In this work, we study the training dynamics of Matrix Product State (MPS) clas...

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Hlavní autoři:	Domenico Pomarico, Roberto Cilli, Alfonso Monaco, Loredana Bellantuono, Marianna La Rocca, Tommaso Maggipinto, Giuseppe Magnifico, Marlis Ontivero Ortega, Ester Pantaleo, Sabina Tangaro, Sebastiano Stramaglia, Roberto Bellotti, Nicola Amoroso
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-09-01
Edice:	Technologies
Témata:	tensor networks machine learning grokking information theory causality higher-order interaction
On-line přístup:	https://www.mdpi.com/2227-7080/13/10/438
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