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Fig. 3 | Applied Network Science

Fig. 3

From: Quantum walk neural networks with feature dependent coins

Fig. 3

Comparison of a classical walk and a learned quantum walk. The classical and quantum random walks evolve from left to right over 4 steps. Both walks originate at the highlighted node. At each step, the brighter colored nodes correspond to a higher probability of the random walker at that node. A classical walk, as used in GCN and DCNN, diffuses uniformly to neighboring nodes. The learned quantum walk can direct the diffusion process to control the direction information travels. The third and fourth steps of the quantum walk show the information primarily directed southeast. a Graph of Temperature Recording Locations b Diffusion of a 4-step Classical Random Walk c Diffusion of a 4-step Quantum Walk After Training

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