Representations of graph states with neural networks

DOI10.1007/s10114-023-1353-1zbMath1516.81056MaRDI QIDQ6155973

Unnamed Author

Publication date: 7 June 2023

Published in: Acta Mathematica Sinica. English Series (Search for Journal in Brave)

zbMATH Keywords

representationgraph stateneural network quantum state

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Quantum information, communication, networks (quantum-theoretic aspects) (81P45) Quantum state estimation, approximate cloning (81P50)

Cites Work

• The density-matrix renormalization group in the age of matrix product states
• Multilayer feedforward networks are universal approximators
• Reducing the Dimensionality of Data with Neural Networks
• Computational Complexity of Projected Entangled Pair States
• Criticality, the Area Law, and the Computational Power of Projected Entangled Pair States
• Multiparty entanglement in graph states
• Representational Power of Restricted Boltzmann Machines and Deep Belief Networks
• Solving the quantum many-body problem with artificial neural networks
• On the representation of continuous functions of many variables by superposition of continuous functions of one variable and addition
• Approximation by superpositions of a sigmoidal function

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