Uncertainty of feed forward neural networks recognizing quantum contextuality

DOI10.1088/1751-8121/acfd6barXiv2212.13564OpenAlexW4387037446MaRDI QIDQ6063374

Unnamed Author, Karol Horodecki, Tomasz Paterek

Publication date: 7 November 2023

Published in: Journal of Physics A: Mathematical and Theoretical (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2212.13564

zbMATH Keywords

contextualityBayesian neural networksuncertainty of neural networks

Mathematics Subject Classification ID

Computer science (68-XX) Quantum theory (81-XX)

Cites Work

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• Multilayer feedforward networks are universal approximators
• Bayesian learning for neural networks
• Quantum \(\alpha\)-entropy inequalities: independent condition for local realism?
• A combinatorial approach to nonlocality and contextuality
• Quantum entanglement
• Simple Test for Hidden Variables in Spin-1 Systems
• Gradient Theory of Optimal Flight Paths
• Simple unified form for the major no-hidden-variables theorems
• Quantum advantage with shallow circuits
• Proposed Experiment to Test Local Hidden-Variable Theories

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