Singular Value Transformation

Singular Value Transformation (SVT) is a framework for applying a desired function to the singular values of a matrix using quantum operations. It generalizes many quantum algorithms by expressing them as specific transformations of singular values through polynomial functions. Essentially, it provides a unified way to perform tasks like matrix inversion, projection, or amplification within quantum computation.