scqubits.core.operators

Functions

a_plus_adag(dimension[, prefactor])	Operator matrix for prefactor(\(a+a^\dagger\)) of size dimension x dimension in sparse matrix representation.
a_plus_adag_sparse(dimension[, prefactor])	Operator matrix for prefactor(\(a+a^\dagger\)) of size dimension x dimension in sparse matrix representation.
annihilation(dimension)	Returns a dense matrix of size dimension x dimension representing the annihilation operator in number basis.
annihilation_sparse(dimension)	Returns a matrix of size dimension x dimension representing the annihilation operator in the format of a scipy sparse.csc_matrix.
cos_theta_harmonic(dimension[, prefactor])	Operator matrix for cos(prefactor(\(a+a^\dagger\))) of size dimension x dimension in sparse matrix representation.
creation(dimension)	Returns a dense matrix of size dimension x dimension representing the creation operator in number basis.
creation_sparse(dimension)	Returns a matrix of size dimension x dimension representing the creation operator in the format of a scipy sparse.csc_matrix.
hubbard_sparse(j1, j2, dimension)	The Hubbard operator \(|j_1\rangle>\langle j_2|\) is returned as a matrix of linear size dimension.
iadag_minus_ia(dimension[, prefactor])	Operator matrix for prefactor(\(ia-ia^\dagger\)) of size dimension x dimension as ndarray
iadag_minus_ia_sparse(dimension[, prefactor])	Operator matrix for prefactor(\(ia-ia^\dagger\)) of size dimension x dimension as ndarray
number(dimension[, prefactor])	Number operator matrix of size dimension x dimension in sparse matrix representation.
number_sparse(dimension[, prefactor])	Number operator matrix of size dimension x dimension in sparse matrix representation.
sigma_minus()
sigma_plus()
sigma_x()
sigma_y()
sigma_z()
sin_theta_harmonic(dimension[, prefactor])	Operator matrix for sin(prefactor(\(a+a^\dagger\))) of size dimension x dimension in sparse matrix representation.