Quantum Lyapunov control with machine learning

DOI10.1007/s11128-019-2470-8OpenAlexW2991597955WikidataQ126664261 ScholiaQ126664261MaRDI QIDQ2677548

Yanyan Li

Publication date: 5 January 2023

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

Full work available at URL: https://arxiv.org/abs/1808.02516

zbMATH Keywords

neural networkmachine learningLyapunov controlquantum state preparation

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Quantum control (81Q93)

Related Items (5)

Entanglement response in modulation optomechanical system controlled by the feedback optical field ⋮ GRAPE optimization for open quantum systems with time-dependent decoherence rates driven by coherent and incoherent controls ⋮ Quantum control based on machine learning in an open quantum system ⋮ Machine learning for finding suboptimal final times and coherent and incoherent controls for an open two-level quantum system ⋮ Speed up generation of steady-state entanglement with Lyapunov control engineered dissipative ancilla

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