Abstract: General Matrix Multiplication (GEMM) is one of the most common kernels in high-performance computing (HPC) and machine-learning (ML) applications, frequently dominating their execution time, ...
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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