PMM Modules

AffineHermitianMatrix	Module that builds a parametric hermitian matrix that is affine in the input features.
Eigenvalues	Module to compute selected eigenvalues of a symmetric (Hermitian) matrix.
Eigenvectors	Module to compute selected eigenvectors of a symmetric (Hermitian) matrix.
Eigensystem	Module to compute selected eigenpairs of a symmetric (Hermitian) matrix.
AffineEigenvaluePMM	AffineEigenvaluePMM is a module that implements the affine eigenvalue Parametric Matrix Model (PMM) using two primitive modules combined in a SequentialModel: an AffineHermitianMatrix module followed by an Eigenvalues module.
AEPMM	alias of AffineEigenvaluePMM
AffineObservablePMM	AffineObservablePMM is a module that implements a general regression model via the affine observable Parametric Matrix Model (PMM) using four primitive modules combined in a SequentialModel: a AffineHermitianMatrix module followed by an Eigenvectors module followed by a TransitionAmplitudeSum module (or an ExpectationValueSum) followed optionally by a Bias module.
AOPMM	alias of AffineObservablePMM
TransitionAmplitudeSum	A module that computes the sum of transition amplitudes of trainable observables given an input of state vectors.
ExpectationValueSum	A module that computes the sum of expectation values of trainable observables given an input of state vectors.