Abstract: Accelerating matrix multiplication is crucial to achieve high performance in many application domains, including neural networks, graph analytics, and scientific computing. These ...
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 ...
%Create the coefficient matrix A. A = [1 3 -2 0 2 0; 2 6 -5 -2 4 -3; 0 0 1 5 0 3; 1 3 0 4 2 9] %Create the column matrix b of constants. %Remember, to create a column matrix, the rows are separated by ...
This project is intended for research purposes only. Use it at your own risk and discretion. Triton is a language and compiler for writing highly efficient ML primitives, one of the most common ...
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