GQML_test.py File Reference

Go to the source code of this file.

Namespaces
	GQML_test

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

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