Quantum-inspired machine learning on high-energy physics data

Abstract Tensor Networks, a numerical tool originally designed for simulating quantum many-body systems, have recently been applied to solve Machine Learning problems. Exploiting a tree tensor network, we apply a quantum-inspired machine learning technique to a very important and challenging big dat...

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Bibliographic Details
Main Authors: Timo Felser, Marco Trenti, Lorenzo Sestini, Alessio Gianelle, Davide Zuliani, Donatella Lucchesi, Simone Montangero
Format: Article
Language:English
Published: Nature Portfolio 2021-07-01
Series:npj Quantum Information
Online Access:https://doi.org/10.1038/s41534-021-00443-w