Creating and concentrating quantum resource states in noisy environments using a quantum neural network

DOI10.1016/j.neunet.2021.01.003zbMath1521.68132arXiv2101.05994OpenAlexW3118928507MaRDI QIDQ6078679

Sanjib Ghosh, Unnamed Author, Tomasz Paterek, Unnamed Author

Publication date: 28 September 2023

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2101.05994

zbMATH Keywords

optimizationquantum entanglementquantum informationquantum neural networkneural network applicationsquantum state preparationquantum machine learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Quantum computation (81P68) Quantum coherence, entanglement, quantum correlations (81P40) Quantum information, communication, networks (quantum-theoretic aspects) (81P45)

Related Items (1)

The roles of Kerr nonlinearity in a bosonic quantum neural network

Cites Work

• Explicit demonstration of initial state construction in artificial neural networks using netket and IBM Q experience platform
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• On the role of entanglement in quantum-computational speed-up
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• Multidimensional quantum entanglement with large-scale integrated optics
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