Quantum Computing.
product of the eigenvalues and corresponding eigenvector entries for all k. This is equivalent to taking the inner product between the i-th and j-th columns of the eigenvector matrix, weighted by the corresponding eigenvalues. Once that step is completed, a hyperplane — that creates a margin to