Closed-loop control of a noisy qubit with reinforcement learning

Closed-loop control of a noisy qubit with reinforcement learning

The exotic nature of quantum mechanics differentiates machine learning applications in the quantum realm from classical ones. Stream learning is a powerful approach that can be applied to extract knowledge continuously from quantum systems in a wide range of tasks. In this paper, we propose a deep r...

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Bibliographic Details
Main Authors: Chen, X. (Author), Ding, Y. (Author), Magdalena-Benedito, R. (Author), Martín-Guerrero, J.D (Author)
Format: Article
Language:English
Published: Institute of Physics 2023
Subjects:
Closed loop control systems
Closed-loop
Closed-loop control
closed-loop quantum control
Closed-loop quantum control
Control theory
Decision making
Deep learning
deep reinforcement learning
Deep reinforcement learning
Learning systems
Machine learning applications
noisy qubit
Noisy qubit
Open loop control
Quantum control
Quantum noise
Quantum optics
Quantum system
Qubits
Reinforcement learning
Reinforcement learning method
Reinforcement learnings
Online Access:View Fulltext in Publisher
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