Learning Control of Quantum Systems
arXiv:2101.07461 · doi:10.1007/978-1-4471-5102-9_100161-1
Abstract
This paper provides a brief introduction to learning control of quantum systems. In particular, the following aspects are outlined, including gradient-based learning for optimal control of quantum systems, evolutionary computation for learning control of quantum systems, learning-based quantum robust control, and reinforcement learning for quantum control.
9 pages
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- Framework for Learning and Control in the Classical and Quantum Domains
- Quantum optimal control in quantum technologies. Strategic report on current status, visions and goals for research in Europe
- Fast State Stabilization using Deep Reinforcement Learning for Measurement-based Quantum Feedback Control