def setUp(self): super().setUp() self.seed = 8123179 aqua_globals.random_seed = self.seed self.num_nodes = 5 self.w = random_graph(self.num_nodes, edge_prob=0.5) self.qubit_op, self.offset = stable_set.get_operator(self.w)
def setUp(self): super().setUp() self.seed = 100 aqua_globals.random_seed = self.seed self.num_nodes = 3 self.w = random_graph(self.num_nodes, edge_prob=0.8, weight_range=10) self.qubit_op, self.offset = vertex_cover.get_operator(self.w)
def setUp(self): super().setUp() self.k = 5 # K means the size of the clique self.seed = 100 aqua_globals.random_seed = self.seed self.num_nodes = 5 self.w = random_graph(self.num_nodes, edge_prob=0.8, weight_range=10) self.qubit_op, self.offset = clique.get_operator(self.w, self.k)
def create_qiskit_circuit(num_nodes: int, params: List[float], edge_prob=0.8, weight_range=10) -> qiskit.QuantumCircuit: # print(locals()) np.random.seed(123) w = random_graph(num_nodes, edge_prob=edge_prob, weight_range=weight_range) qubit_op, offset = vertex_cover.get_operator(w) qaoa = QAOA(qubit_op, p=int(len(params) / 2)) return qaoa.var_form.construct_circuit(params)
def setUp(self): super().setUp() aqua_globals.random_seed = 8123179 self.w = random_graph(4, edge_prob=0.5, weight_range=10) self.qubit_op, self.offset = max_cut.get_operator(self.w)
from qiskit.optimization.applications.ising import graph_partition from qiskit.optimization.applications.ising.common import random_graph, sample_most_likely from qiskit.aqua import aqua_globals from qiskit.aqua.algorithms import QAOA from qiskit.aqua.components.optimizers import COBYLA from qiskit.circuit.library import TwoLocal from qiskit.compiler import transpile, assemble if len(sys.argv) != 3: print("Usage: %s <num-qubits> <method>" % sys.argv[0]) sys.exit(1) num_nodes = int(sys.argv[1]) method = sys.argv[2] # statevector_gpu or statevector w = random_graph(num_nodes, edge_prob=0.8, weight_range=10, seed=48) # print(w) G = nx.from_numpy_matrix(w) layout = nx.random_layout(G, seed=10) # colors = ['r', 'g', 'b', 'y'] # nx.draw(G, layout, node_color=colors) # labels = nx.get_edge_attributes(G, 'weight') # nx.draw_networkx_edge_labels(G, pos=layout, edge_labels=labels) def brute_force(): # use the brute-force way to generate the oracle def bitfield(n, L): result = np.binary_repr(n, L) return [int(digit) for digit in result] # [2:] to chop off the "0b" part
def setUp(self): super().setUp() aqua_globals.random_seed = 100 self.num_nodes = 4 self.w = random_graph(self.num_nodes, edge_prob=0.8, weight_range=10) self.qubit_op, self.offset = graph_partition.get_operator(self.w)