pygsti.algorithms.germselection.compact_EVD_via_SVD

compact_EVD_via_SVD(mat, threshold=1e-10)

Generate the compact eigenvalue decomposition of the input matrix. Assumes of course that the user has specified a diagonalizable matrix, there are no safety checks for that made a priori.

input:

matndarray

input matrix we want the compact EVD for. Assumed to be diagonalizable.

thresholdfloat, optional

threshold value for deciding if an eigenvalue is zero.

output:

endarray

1-D numpy array of the non-zero eigenvalues of mat.

Undarray

Matrix such that U@diag(s)@U.conj().T=mat.