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Evolving Hybrid Quantum-Classical Architectures for Image Classification

Kar, Devroop et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognitionmachine-learningneural-and-evolutionary-computingquantum-physics
Hybrid quantum classical neural networks integrate parameterized quantum circuits (PQCs) with established deep learning architectures, but their performance depends strongly on the choice of quantum circuit architecture, a choice that remains largely manual. Most existing approaches rely on hand-des
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