Interferometer-Based Photonic Circuit Classifier Showing >90% Accuracy for Well-Known Iris Dataset without Utilizing Nonlinear Activation Function

We demonstrate that interferometer-based photonic circuits can perform classification by only phase control even without activation functions, which can classify well-known Iris dataset with >90% accuracy in simulation, showing simple photonic implementation for machine learning.