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 ...
The story so far: In 1999, California-based Nvidia Corp. marketed a chip called GeForce 256 as “the world’s first GPU”. Its purpose was to make videogames run better and look better. In the 2.5 ...
Sparse matrix-matrix multiplication (SpMM) is a crucial kernel in various applications, including sparse deep neural networks [1]–[6], graph analytics [7], triangle counting [8], and linear algebra ...
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