Abstract:

We propose imperfection-tolerant optical machine learning of data reuploading by polarization rotation. While the conventional optical unitary transformation method is impractical due to prohibitively high requirement in its optical coupler accuracy, the proposed method eliminates the couplers at comparable performance in a classification task.