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optics.org
optics.org > news > 16 > 11 > 38

Rome-led group progresses toward practical photonic quantum neural networks

5+ day, 9+ 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…...

2.
optics.org
optics.org > news > 16 > 4 > 44

Smart phone and machine learning process helps detect anemia in children

7+ mon, 6+ day ago (240+ words) Left untreated, anemia in children can interfere with growth, learning, and overall development. Detecting the condition early is essential, but standard diagnostic methods require blood samples and ... Smart phone and machine learning process helps detect anemia in children Left untreated, anemia in children can interfere with growth, learning, and overall development. Detecting the condition early is essential, but standard diagnostic methods require blood samples and lab equipment'resources that are often unavailable in low-income areas. They then applied machine learning along with a technique called radiomics, which mathematically analyzes patterns and textures in medical images, to identify features linked to anemia. First author Shaun Hong, a Purdue University PhD student, commented, "Unlike previous efforts that rely on color analysis or special imaging tools, this method doesn't require color data. The results show a strong connection between specific spatial features and anemia…...