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In this study, we investigate and implement a discrete Hopfielddhnn neural network (DHNN) using SFQ circuits. A DHNN is a binary neural network with less information than a standard full precision neural network; it also provides a higher processing speed.

DHNN is a minimalistic and Numpy based implementation of the Discrete Hopfield Network. DHNN can learn (memorize) patterns and remember (recover) the patterns when the network feeds those with noises.

Hill was performing with her cheer team in the holiday parade when she was hit by a Hummer vehicle that was with the group. Following the accident, Hill was rushed to an。

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