Graph neural networks (GNNs) hold potential for harnessing data power to tackle application challenges in electrical engineering, physics, material science and biology. The cover image shows the ...
Physicists have long recognized the value of photonic graph states in quantum information processing. However, the difficulty of making these graph states has left this value largely untapped. In a ...
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