Advanced Quantum Control with Ensemble Reinforcement Learning: A Case Study on the XY Spin Chain

Advanced Quantum Control with Ensemble Reinforcement Learning: A Case Study on the XY Spin Chain

<p dir="ltr">This research presents an ensemble Reinforcement Learning (RL) approach that combines Deep Q-Network (DQN) and Proximal Policy Optimization (PPO) algorithms to tackle quantum control problems. This research aims to use the complementary strengths of DQN and PPO algorithm...

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Bibliographic Details
Main Author: Farshad Rahimi Ghashghaei (20880995) (author)
Other Authors: Nebrase Elmrabit (1250247) (author), Ayyaz-Ul-Haq Qureshi (20880998) (author), Adnan Akhunzada (20151648) (author), Mehdi Yousefi (12201526) (author)
Published: 2025
Subjects:
Engineering
Aerospace engineering
Control engineering, mechatronics and robotics
Information and computing sciences
Artificial intelligence
Data management and data science
Machine learning
Theory of computation
Quantum system
Ensemble learning
Reinforcement learning
Quantum computing
Optimal control
Robust control
Noise
Computational modeling
Aerospace electronics
Adaptive control
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