Experimental pairwise entanglement estimation for an \(N\)-qubit system. A machine learning approach for programming quantum hardware

DOI10.1007/s11128-020-02877-1OpenAlexW3002945217MaRDI QIDQ2684272

Yanyan Li

Publication date: 16 February 2023

Published in: Quantum Information Processing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1902.07754

zbMATH Keywords

entanglementquantum gatesquantum simulatorquantum machine learning

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Quantum computation (81P68)

Uses Software

• Matlab
• GitHub

Cites Work

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• Generating three-qubit quantum circuits with neural networks
• Universal Quantum Simulators
• Classical deterministic complexity of Edmonds' Problem and quantum entanglement
• Exponential algorithmic speedup by a quantum walk
• Quantum advantage with shallow circuits
• Analysis of fault tolerance in artificial neural networks
• Simulations of quantum neural networks

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