As image datasets grow in scale and complexity, classical convolutional neural networks (CNNs) increasingly face limitations in computational efficiency, scalability, and generalisation in low-data ...
Both quantum and hybrid quantum neural networks are structured as feedforward architectures, similar to classical neural networks used in PINNs. Figure 1 illustrates the general structure of a quantum ...
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