colder.core.quantum package

colder.core.quantum.numpy module

class colder.core.quantum.numpy.operators

Bases: object

X: ndarray = array([[0.+0.j, 1.+0.j],        [1.+0.j, 0.+0.j]])

Y: ndarray = array([[ 0.+0.j, -0.-1.j],        [ 0.+1.j,  0.+0.j]])

Z: ndarray = array([[ 1.+0.j,  0.+0.j],        [ 0.+0.j, -1.+0.j]])

Id: ndarray = array([[1.+0.j, 0.+0.j],        [0.+0.j, 1.+0.j]])

class colder.core.quantum.numpy.quantum_sparse(size: int, local_dim: int = 2)

Bases: object

kron_site(operator: ndarray, site: int) → ndarray

kron_list(operators: List[ndarray], sites: List[int]) → ndarray

colder.core.quantum.sparse module

class colder.core.quantum.sparse.operators

Bases: object

X: spmatrix = <2x2 sparse matrix of type '<class 'numpy.complex128'>' with 2 stored elements in Compressed Sparse Row format>

Y: spmatrix = <2x2 sparse matrix of type '<class 'numpy.complex128'>' with 2 stored elements in Compressed Sparse Row format>

Z: spmatrix = <2x2 sparse matrix of type '<class 'numpy.complex128'>' with 2 stored elements in Compressed Sparse Row format>

Id: spmatrix = <2x2 sparse matrix of type '<class 'numpy.complex128'>' with 2 stored elements (1 diagonals) in DIAgonal format>

class colder.core.quantum.sparse.quantum_sparse(size: int, local_dim: int = 2)

Bases: object

kron_site(operator: spmatrix, site: int) → spmatrix

kron_list(operators: List[spmatrix], sites: List[int]) → spmatrix

Module contents