Entanglement detection with classical deep neural networks
Julio Ureña,
Antonio Sojo,
Jara Juana Bermejo-Vega
et al.
Abstract:In this study, we introduce an autonomous method for addressing the detection and classification of quantum entanglement, a core element of quantum mechanics that has yet to be fully understood. We employ a multi-layer perceptron to effectively identify entanglement in both twoand three-qubit systems. Our technique yields impressive detection results, achieving nearly perfect accuracy for two-qubit systems and over 90% accuracy for three-qubit systems. Additionally, our approach successfully categorizes three-… Show more
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