5+ day, 8+ hour ago (159+ words) Photons are fast, stable, and easy to manipulate on chips, making photonic systems a promising platform for QCNNs. However, photonic circuits typically behave linearly, limiting the flexible ... "Simple adaptive method" makes optical quantum processors behave like neural networks. To test the design, they encoded simple 4 " 4 images'patterns of horizontal or vertical bars. Measurements at each stage matched theoretical predictions. In the full experimental setup, the QCNN achieved a classification accuracy above 92 percent, consistent with numerical simulations. This demonstrates the potential of the adaptive approach. The research was funded by the following institutions: European Union"s Horizon Europe research and Innovation Program Under EPIQUE Project, ERC Advanced Grant QU-BOSS (QUantum Advantage via Nonlinear BOSon Sampling, ICSC'Centro Nazionale di Ricerca in High Performance Computing, Big Data and Quantum Computing, Funded by European Union'NextGenerationEU, EPSRC Quantum Advantage Pathfinder Research Program Within the UK"s…...