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Moreover, recently, a novel type of Neural Network (NNs) the Physics-Informed Neural Networks (PINNs), was discovered to have many applications in computational physics. By integrating knowledge of physical laws and processes in Partial Differential Equations (PDEs), fast convergence and effective solutions are obtained. This aspect of Trainable Embedding Quantum Physics Informed Neural plays a vital role in practical applications.

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Final Thoughts on Trainable Embedding Quantum Physics Informed Neural

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