GQML_test Namespace Reference

Functions
def	generate_MRF_dataset (n_nodes, graph_type, dataset_size, path=None, G=None)

Variables
	cliques
dictionary	config
int	dataset_size = 1000
list	edges = [(x, x+1) for x in range(n_nodes-1)]
	G = nx.Graph()
	GQML = Generative_Quantum_Machine_Learning(x, P_star, sigma, qbit_num, use_lookup_table, cliques, use_exact, config)
string	graph_type = "custom"
	initial_state = np.zeros( (1 << qbit_num), dtype=np.complex128 )
int	n_nodes = 5
	P_star = target_distribution
int	P_theta = np.abs(state_to_transform)**2
	param_num = GQML.get_Parameter_Num()
	parameters = np.zeros(param_num)
int	qbit_num = n_nodes
list	sigma = [0.25, 10, 1000]
	state_to_transform = initial_state.copy()
	target_distribution
	training_set
list	tvs_hea = []
list	tvs_qcmrf = []
bool	use_exact = True
bool	use_lookup_table = True
	x = training_set.astype(np.int32)

Function Documentation

generate_MRF_dataset()

def GQML_test.generate_MRF_dataset	(		n_nodes,
			graph_type,
			dataset_size,
			path = None,
			G = None
	)

Definition at line 11 of file GQML_test.py.

Variable Documentation

cliques

GQML_test.cliques

Definition at line 41 of file GQML_test.py.

config

dictionary GQML_test.config

Initial value:

=  {"max_inner_iterations":8000, 
     "batch_size": 3,
    "check_for_convergence": True,
     "convergence_length": 20,
    "output_periodicity": 500}

Definition at line 45 of file GQML_test.py.

dataset_size

GQML_test.dataset_size = 1000

Definition at line 33 of file GQML_test.py.

edges

list GQML_test.edges = [(x, x+1) for x in range(n_nodes-1)]

Definition at line 37 of file GQML_test.py.

G

GQML_test.G = nx.Graph()

Definition at line 35 of file GQML_test.py.

GQML

GQML_test.GQML = Generative_Quantum_Machine_Learning(x, P_star, sigma, qbit_num, use_lookup_table, cliques, use_exact, config)

Definition at line 58 of file GQML_test.py.

graph_type

GQML_test.graph_type = "custom"

Definition at line 32 of file GQML_test.py.

initial_state

GQML_test.initial_state = np.zeros( (1 << qbit_num), dtype=np.complex128 )

Definition at line 77 of file GQML_test.py.

n_nodes

GQML_test.n_nodes = 5

Definition at line 31 of file GQML_test.py.

P_star

GQML_test.P_star = target_distribution

Definition at line 53 of file GQML_test.py.

P_theta

int GQML_test.P_theta = np.abs(state_to_transform)**2

Definition at line 81 of file GQML_test.py.

param_num

GQML_test.param_num = GQML.get_Parameter_Num()

Definition at line 68 of file GQML_test.py.

parameters

GQML_test.parameters = np.zeros(param_num)

Definition at line 72 of file GQML_test.py.

qbit_num

int GQML_test.qbit_num = n_nodes

Definition at line 50 of file GQML_test.py.

sigma

list GQML_test.sigma = [0.25, 10, 1000]

Definition at line 51 of file GQML_test.py.

state_to_transform

GQML_test.state_to_transform = initial_state.copy()

Definition at line 79 of file GQML_test.py.

target_distribution

GQML_test.target_distribution

Definition at line 41 of file GQML_test.py.

training_set

GQML_test.training_set

Definition at line 41 of file GQML_test.py.

tvs_hea

list GQML_test.tvs_hea = []

Definition at line 104 of file GQML_test.py.

tvs_qcmrf

list GQML_test.tvs_qcmrf = []

Definition at line 85 of file GQML_test.py.

use_exact

bool GQML_test.use_exact = True

Definition at line 55 of file GQML_test.py.

use_lookup_table

bool GQML_test.use_lookup_table = True

Definition at line 54 of file GQML_test.py.

x

GQML_test.x = training_set.astype(np.int32)

Definition at line 52 of file GQML_test.py.