\(\beta\)-Variational autoencoder as an entanglement classifier

DOI10.1016/J.PHYSLETA.2021.127697OpenAlexW3200297037MaRDI QIDQ2235716

Nahum Sá, Itzhak Roditi

Publication date: 21 October 2021

Published in: Physics Letters. A (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2004.14420

zbMATH Keywords

quantum entanglemententanglement witnessdeep learning

Mathematics Subject Classification ID

Quantum theory (81-XX) Statistical mechanics, structure of matter (82-XX)

Related Items (1)

Entanglement detection with complex-valued neural networks

Cites Work

• Unnamed Item
• Separability of mixed states: necessary and sufficient conditions.
• Quantum entanglement
• Entanglement in many-body systems
• Classical deterministic complexity of Edmonds' Problem and quantum entanglement
• Teleporting an unknown quantum state via dual classical and Einstein-Podolsky-Rosen channels
• Separability Criterion for Density Matrices
• Solving the quantum many-body problem with artificial neural networks
• An Introduction to Variational Autoencoders
• An Introduction to Entanglement Theory

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