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and reinforcement learning for real-time optimization, fault self-recovery, and production scheduling in industrial processes. Publish research results in top-tier international conferences and journals
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& Computation: designing efficient quantum algorithms and theoretical frameworks across diverse hardware platforms to address problems in quantum error correction, learning, control, measurement, simulation, and
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materials, quantum error correction, and quantum simulations. • Quantum for AI: We explore the principles of quantum mechanics and statistical physics to design next-generation AI architectures, driving
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Develop industrial process digital twin models based on the fusion of mechanistic and data-driven approaches. Develop predictive maintenance and fault diagnosis algorithms for critical equipment (e.g
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) or discrete manufacturing (e.g., electronics assembly, automotive, home appliances). Explore the integration of large language models and reinforcement learning for real-time optimization, fault self
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appliances). Explore the integration of large language models and reinforcement learning for real-time optimization, fault self-recovery, and production scheduling in industrial processes. Publish research