qimpy.transport.material.ab_initio.Lindblad

class Lindblad(*, ab_initio, data_file, scale_factor=1.0, detailed_balance='single', checkpoint_in=(None, ''))

Parameters:

__init__(*, ab_initio, data_file, scale_factor=1.0, detailed_balance='single', checkpoint_in=(None, ''))

Initialize ab initio Lindbladian scattering.

Parameters:

scale_factor (float) – [Input file] Overall scale factor for scattering rate.
ab_initio (AbInitio)
data_file (Checkpoint)
detailed_balance (str)
checkpoint_in (CheckpointPath)

Return type:

None

Methods

`__init__`	Initialize ab initio Lindbladian scattering.
`add_child`	Construct child object self.`attr_name` of type cls.
`add_child_one_of`	Invoke add_child on one of several child options in args.
`find_mu`	find mu based on occupations f, Does not work for k-point parralelization
`initialize_fields`
`rho_dot`	drho/dt due to scattering in Schrodinger picture.
`save_checkpoint`	Save self and all children in hierarchy to cp_path.

Attributes

`ab_initio`
`P`	P and Pbar operators stacked together
`rho_dot0`	rho_dot(rho0) for detailed balance correction
`constant_params`	constant values of parameters
`scale_factor`	scale factors per patch
`detailed_balance`
`child_names`	Names of attributes with child objects.
`variant_name`	Version of children having variants (if any)

find_mu(f, mu0)

find mu based on occupations f, Does not work for k-point parralelization

Parameters:

Return type:

Tensor

rho_dot(rho, t, patch_id)

drho/dt due to scattering in Schrodinger picture. Input and output rho are in unpacked (complex Hermitian) form.

Parameters:

Return type:

Tensor