estimated_krylov_subspace_dimension_arnoldi

Graph.estimated_krylov_subspace_dimension_arnoldi(hamiltonian_sample, lindblad_terms, duration, maximum_segment_duration, error_tolerance=1e-06, seed=None, *, name=None)

This node will be removed in the future.

Note that krylov_subspace_dimension parameter is deprecated from density_matrix_evolution_pwc, meaning you don’t need to call this node to estimate a Krylov subspace dimension.

Parameters
  • hamiltonian_sample (Union[numpy.array, scipy.sparse.coo.coo_matrix, qctrlcommons.node.node_data.Tensor]) –

  • lindblad_terms (List[Tuple[float, Union[numpy.array, scipy.sparse.coo.coo_matrix, qctrlcommons.node.node_data.Tensor]]]) –

  • duration (float) –

  • maximum_segment_duration (float) –

  • error_tolerance (float) –

  • seed (Optional[int]) –

  • name (Optional[str]) –

Return type

qctrlcommons.node.node_data.Tensor