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 ...
Welcome! This repository contains REST API tutorial samples that demonstrate how to use the Azure AI Content Understanding service directly via HTTP calls with thin Python convenience wrappers. These ...
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