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Fig. 2 | Applied Network Science

Fig. 2

From: Quantum walk neural networks with feature dependent coins

Fig. 2

Quantum walk neural network diagram. The feature matrix X is used by the banks to produce the coin matrices C used in each step layer as well in the final diffusion process. The superposition Φ evolves after each step of the walk. The diffusion layer diffuses X using each superposition {Φ(0),Φ(1),...Φ(T)} and concatenates the results to produce the output Y

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