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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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Farshad Rahimi Ghashghaei (20880995) (author)
مؤلفون آخرون:	Nebrase Elmrabit (1250247) (author), Ayyaz-Ul-Haq Qureshi (20880998) (author), Adnan Akhunzada (20151648) (author), Mehdi Yousefi (12201526) (author)
منشور في:	2025
الموضوعات:	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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Advanced Quantum Control with Ensemble Reinforcement Learning: A Case Study on the XY Spin Chain

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