PMM Modules

AffineHermitianMatrix	Module that builds a parametric hermitian matrix that is affine in the input features.
LowRankAffineHermitianMatrix	Module that builds a parametric hermitian matrix from an affine function of the input features with low-rank matrices.
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 MultiModule: an AffineHermitianMatrix module followed by an Eigenvalues module.
AEPMM	alias of AffineEigenvaluePMM
LowRankAffineEigenvaluePMM	LowRankAffineEigenvaluePMM is a module that implements the affine eigenvalue Parametric Matrix Model (PMM) using low-rank matrices via two primitive modules combined in a MultiModule: a LowRankAffineHermitianMatrix module followed by an Eigenvalues module.
LRAEPMM	alias of LowRankAffineEigenvaluePMM
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 MultiModule: a AffineHermitianMatrix module followed by an Eigenvectors module followed by a TransitionAmplitudeSum module followed optionally by a Bias module.
AOPMM	alias of AffineObservablePMM
LowRankAffineObservablePMM	LowRankAffineObservablePMM is a module that implements a general regression model via the affine observable Parametric Matrix Model (PMM) with low-rank trainable matrices using four primitive modules combined in a MultiModule: a LowRankAffineHermitianMatrix module followed by an Eigenvectors module followed by a LowrankTransitionAmplitudeSum module followed optionally by a Bias module.
LRAOPMM	alias of LowRankAffineObservablePMM
TransitionAmplitudeSum	A module that computes the sum of transition amplitudes of trainable observables given an input of state vectors.
LowRankTransitionAmplitudeSum	A module that computes the sum of transition amplitudes of low-rank trainable observables given an input of state vectors.
LegacyAffineObservablePMM	Module that implements the legacy affine observable Parametric Matrix Model (PMM), which is useful for generalized regression.