Linear algebra is central to many algorithms in engineering, science, and machine learning; hence, accelerating it would have tremendous economic impact. Quantum computing has been proposed for this ...

Generalized inverses extend the notion of the classical matrix inverse to singular or non-square matrices, enabling solutions of linear systems that lack unique or direct inverses. By relaxing one or ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most challenging tasks in numerical ...