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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 ...

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 ...

MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat instead of electricity. These tiny structures could someday enable more ...

Implements the General Matrix Multiplication algorithm, Strassen's algorithm, and Coppersmith and Winograd's Algorithm. usage: matrix-multiplication [options] -a <algorithm> - select which algorithm ...

A discrete-time signal is a sequence of numbers defined only at integer values of time. Addition combines two signals sample by sample. y[n] = x₁[n] + x₂[n] Used in mixing and superposition of signals ...