A hybrid QCNN that reuses measurements from qubits discarded during pooling reports large accuracy gains on small image benchmarks, but the baseline is not matched in classical capacity.
The deriva- tive of tanh is largest for |x| ≲ 2
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Hybrid Quantum-Classical Learning for Multiclass Image Classification
A hybrid QCNN that reuses measurements from qubits discarded during pooling reports large accuracy gains on small image benchmarks, but the baseline is not matched in classical capacity.