Researchers from Communications Physics have demonstrated a quantum optical classifier that utilizes the Hong-Ou-Mandel effect for rapid binary classification. By encoding images into single-photon states, it achieves constant computational effort—a significant leap compared to classic neural networks. This method shows promise in tasks like digit recognition, offering an intriguing alternative to conventional AI approaches.