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QUANTUM INSPIRED CONVOLUTIONAL KERNELS FOR CONVOLUTIONAL NEURAL NETWORKS
QUANTUM INSPIRED CONVOLUTIONAL KERNELS FOR CONVOLUTIONAL NEURAL NETWORKS
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机译:卷积神经网络的量子启发了卷积核
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摘要
Certain aspects of the present disclosure provide a method for performing quantum convolution, including: receiving input data at a neural network model, wherein the neural network model comprises at least one quantum convolutional layer; performing quantum convolution on the input data using the at least one quantum convolutional layer; generating an output wave function based on the quantum convolution using the at least one quantum convolution layer; generating a marginal probability distribution based on the output wave function; and generating an inference based on the marginal probability distribution.
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