Fast State Stabilization Using Deep Reinforcement Learning for Measurement-Based Quantum Feedback Control

The stabilization of quantum states is a fundamental problem for realizing various quantum technologies. Measurement-based-feedback strategies have demonstrated powerful performance, and the construction of quantum control signals using measurement information has attracted great interest. However,...

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Autors principals:	Chunxiang Song, Yanan Liu, Daoyi Dong, Hidehiro Yonezawa
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2025-01-01
Col·lecció:	IEEE Transactions on Quantum Engineering
Matèries:	Deep reinforcement learning (DRL) feedback control learning control quantum state stabilization
Accés en línia:	https://ieeexplore.ieee.org/document/11150735/
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