prefabricated_nodes.PolarizationRot.PolarizationRot Class Reference

Inheritance diagram for prefabricated_nodes.PolarizationRot.PolarizationRot:

Collaboration diagram for prefabricated_nodes.PolarizationRot.PolarizationRot:

Public Member Functions
def	__init__ (self, id_num, name, in_nd, theta_degs, max_n_sum=10000)
def	fill_trans_mat_and_st_names_of_nd (self, mx, my, dry_run=False)
def	get_expected_degen (self, mx, my)
Public Member Functions inherited from nodes.BayesNode.BayesNode
def	__init__ (self, id_num, name="blank", size=2)
def	set_potential (self, pot)
def	resize (self, size)
def	set_state_name (self, position, name)
def	st_name_index (self, st_name)
def	forget_all_evidence (self)
def	get_active_states (self)
def	set_active_states (self, states)
def	set_state_names_to_product (self, list_of_iters, repeat=1, trim=False)
Public Member Functions inherited from nodes.DirectedNode.DirectedNode
def	__init__ (self, id_num, name="blank")
def	add_parent (self, node)
def	add_parents (self, node_list)
def	remove_parent (self, node)
def	has_parent (self, node)
def	add_child (self, node)
def	add_children (self, node_list)
def	remove_child (self, node)
def	has_child (self, node)
def	undirect (self)
def	get_markov_blanket (self)
Public Member Functions inherited from nodes.Node.Node
def	__init__ (self, id_num, name="blank")
def	__lt__ (self, other)
def	add_neighbor (self, node)
def	remove_neighbor (self, node)
def	has_neighbor (self, node)

Public Attributes
	theta_degs
	true_max_n_sum
	max_n_sum
	potential
Public Attributes inherited from nodes.BayesNode.BayesNode
	size
	state_names
	clique
	potential
Public Attributes inherited from nodes.DirectedNode.DirectedNode
	parents
	children
	neighbors
Public Attributes inherited from nodes.Node.Node
	id_num
	topo_index
	name
	neighbors
	visited

Additional Inherited Members
Properties inherited from nodes.BayesNode.BayesNode
	active_states = property(get_active_states, set_active_states)

Detailed Description

The Constructor of this class builds a BayesNode that has a transition
matrix appropriate for a polarization rotation of an electric field E to
another E'. 'theta_degs' is the angle in degrees from E to E'.

The following is expected:

* the focus node has exactly one parent node,

* the parent node is a vector-field node, meaning it has states labelled
(Nx, Ny), where Nx and Ny are integers.

Quantum Fog gives names of the vector-field form (Nx, Ny) to the states
of the Polarization Rotator.

See BeamSplitter class for explanation of parameter 'max_n_sum'

More information about polarization rotation nodes can be found in the
documents entitled "Quantum Fog Manual", and "Quantum Fog Library Of
Essays" that are included with the legacy QFog.

Attributes
----------
theta_degs : float
max_n_sum : int
true_max_n_sum : int

potential : Potential
active_states : list[int]
clique : Clique
size : int
state_names : list[str]
children : set[BayesNode]
neighbors : set[BayesNode]
parents : set[BayesNode]
id_num : int
topo_index : int
name : str
visited : bool

Constructor & Destructor Documentation

def prefabricated_nodes.PolarizationRot.PolarizationRot.__init__	(		self,
			id_num,
			name,
			in_nd,
			theta_degs,
			max_n_sum = 10000
	)

Constructor

Parameters
----------
id_num : int
    id number of self (focus node)
name : str
    name of self (focus node)
in_nd : BayesNode
    input node
theta_degs : float
max_n_sum : int

Returns
-------

Member Function Documentation

def prefabricated_nodes.PolarizationRot.PolarizationRot.fill_trans_mat_and_st_names_of_nd	(		self,
			mx,
			my,
			dry_run = False
	)

When dry_run=False, this method fills the transition matrix and
state names of the focus node. For dry_run=True, this method doesn't
change any of the attributes of the self object; it just calculates
the expected size=degeneracy of the focus node.

Parameters
----------
mx : list[int]
my : list[int]
dry_run : bool

Returns
-------
None | int

def prefabricated_nodes.PolarizationRot.PolarizationRot.get_expected_degen	(		self,
			mx,
			my
	)

Get expected degeneracy=size of focus node.

Parameters
----------
mx : list[int]
my : list[int]

Returns
-------
int

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The documentation for this class was generated from the following file:

• prefabricated_nodes/PolarizationRot.py