Chinese Optics, Volume. 17, Issue 4, 834(2024)
Fully complex optical neural network with insertion-loss robustness
Fig. 1. (a) Structural diagram and (b) dual port output power response curves of single 2×2 MZI device
Fig. 3. Insertion-loss and phase sensitivity of two types of MZI array topologies
Fig. 4. The rapidly converging topology architecture and the corresponding neural network diagram
Fig. 5. Classification tasks for multidimensional clustering Gaussian-distribution data
Fig. 6. The training processes of two double-layer optical neural network chips
Fig. 7. Training and classification results of Iris data in double-layer optical neural networks
Table 1. The value of the phase shifter in the first layer Clements structure
View tableView in ArticleTable 1. The value of the phase shifter in the first layer Clements structure
MZI (1) (2) (3) (4) (5) (6) θ(rad) 1.354 2.518 1.683 2.614 2.614 6.248 φ(rad) 1.064 4.881 0.995 2.175 1.535 0.130
Table 2. The value of the phase shifter in the second layer Clements structure
View tableView in ArticleTable 2. The value of the phase shifter in the second layer Clements structure
MZI (1) (2) (3) (4) (5) (6) θ(rad) 0.393 1.452 0.270 0.505 5.662 1.250 φ(rad) 5.447 3.434 2.740 0.700 5.416 5.690
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Hui-bin CHEN, Kai-fei TANG, Zhen-yu YOU. Fully complex optical neural network with insertion-loss robustness[J]. Chinese Optics, 2024, 17(4): 834
Received: Nov. 2, 2023
Accepted: --
Published Online: Aug. 9, 2024
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