Utilizing adaptive boosting to detect quantum steerability

DOI10.1007/S10773-022-04983-5zbMath1496.81037OpenAlexW4224239987MaRDI QIDQ2142590

Jun Zhang, Hao Zhang, Hong-fei Song

Publication date: 27 May 2022

Published in: International Journal of Theoretical Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10773-022-04983-5

zbMATH Keywords

quantum steeringgeneralized Werner stateadaptive boosting

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Operator spaces and completely bounded maps (46L07) Performance evaluation, queueing, and scheduling in the context of computer systems (68M20) Quantum coherence, entanglement, quantum correlations (81P40) Quantum state tomography, quantum state discrimination (81P18)

Cites Work

• Unnamed Item
• A decision-theoretic generalization of on-line learning and an application to boosting
• Machine learning on quantifying quantum steerability
• Colloquium: The Einstein-Podolsky-Rosen paradox: From concepts to applications
• Quantum entanglement
• Steering, Entanglement, Nonlocality, and the Einstein-Podolsky-Rosen Paradox
• Optimal randomness certification in the quantum steering and prepare-and-measure scenarios
• Can Quantum-Mechanical Description of Physical Reality Be Considered Complete?
• An adaptive version of the boost by majority algorithm

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