Quantifying quantum entanglement via machine learning models

DOI10.1088/1572-9494/AD4090zbMATH Open1544.81012MaRDI QIDQ6579635

Changchun Feng, Lin Chen

Publication date: 25 July 2024

Published in: Communications in Theoretical Physics (Search for Journal in Brave)

zbMATH Keywords

coherenceentanglementmachine learningquantum informationpredict

Mathematics Subject Classification ID

Quantum computation (81P68) Quantum measurement theory, state operations, state preparations (81P15) Quantum coherence, entanglement, quantum correlations (81P40) Quantum information, communication, networks (quantum-theoretic aspects) (81P45)

Cites Work

• Title not available (Why is that?)
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• Quantifying Entanglement
• Mixed-State Entanglement and Distillation: Is there a “Bound” Entanglement in Nature?
• “Squashed entanglement”: An additive entanglement measure
• Mixed-state entanglement and quantum error correction
• Random forests

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