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näkemys - Permutation-Equivariant Quantum Convolutional Neural Networks
양자 순열 동등 변환 합성곱 신경망
양자 시스템에서 순열 대칭성을 가지는 데이터에 대한 효율적인 분류 모델을 제안한다.
Permutation-Equivariant Quantum Convolutional Neural Networks for Efficient Data Classification
The authors propose architectures of equivariant quantum convolutional neural networks (EQCNNs) that adhere to the Symmetric group Sn and its subgroups, demonstrating improved performance compared to non-equivariant QCNNs for classification tasks.
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