Variational quantum algorithms, inspired by neural networks, have become a novel
approach in quantum computing. However, designing efficient parameterized quantum …

Hard Attention Mechanisms (HAMs) effectively filter essential information discretely and
significantly boost the performance of machine learning models on large datasets …

Complex geospatial object classification plays a pivotal role in resource management and
planning, environmental conservation, and related fields. Deep learning has consistently …

Quantum federated learning has brought about the improvement of privacy image
classification, while the lack of personality of the client model may contribute to the …

Attention mechanisms in deep learning establish relationships between different positions
within a sequence, enabling models like Transformers to generate effective outputs by …