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 ...

A linear algebra program for the TI-84 Plus CE graphing calculator. Matrix automates the mechanical parts of linear algebra, such as computing determinants, row reductions, inverses, Cramer's rule, ...

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 ...

Andrej Karpathy stripped down the LLM architecture and loss function to basic mathematical operations. Andrej Karpathy, a former researcher at OpenAI and the founder of AI-native education company ...