Optimizing Quantum Convolutional Neural Networks for Arbitrary Data Dimensions
The core message of this article is to propose an efficient QCNN architecture capable of handling arbitrary data dimensions by optimizing the allocation of quantum resources such as ancillary qubits and quantum gates.
