Abstract: We present a high-precision digital-analog hybrid optical matrix multiplication processor for neural network applications. 16-bit calculation precision is achieved in a high-definition image ...

Abstract: We propose an efficient quantum subroutine for matrix multiplication that computes a state vector encoding the entries of the product of two matrices in superposition. The subroutine ...

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