Automated machine learning can classify bound entangled states with tomograms

DOI10.1007/s11128-021-03037-9OpenAlexW3134999025MaRDI QIDQ2687197

Thiago O. Maciel, E. I. Duzzioni, Askery Canabarro, Caio B. D. Goes

Publication date: 1 March 2023

Published in: Quantum Information Processing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2001.08118

zbMATH Keywords

bound entanglementPPTautomated machine learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Quantum information, communication, networks (quantum-theoretic aspects) (81P45)

Uses Software

• Matlab
• SDPT3
• YALMIP
• xgboost
• QETLAB
• auto-sklearn
• AutoKeras

Cites Work

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