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...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2021-07-01
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Series: | npj Quantum Information |
Online Access: | https://doi.org/10.1038/s41534-021-00443-w |