Anders and Briegel in Python
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 ``````""" Mock graphs used for testing """ import numpy as np import abp from abp import GraphState, clifford, qi from numpy import random import pytest # We always run with A&B's CZ table when we are testing clifford.use_old_cz() class ABPWrapper(GraphState): """ A wrapper for abp, just to ensure determinism """ def __init__(self, nodes=[]): abp.DETERMINISTIC = True super(ABPWrapper, self).__init__(nodes, vop="hadamard") def print_stabilizer(self): print(self.to_stabilizer()) def __eq__(self, other): return self.to_json() == other.to_json() class CircuitModelWrapper(qi.CircuitModel): def __init__(self, nodes=[]): assert list(nodes) == list(range(len(nodes))) super(CircuitModelWrapper, self).__init__(len(nodes)) def act_circuit(self, circuit): """ Act a sequence of gates """ for node, operation in circuit: if operation == "cz": self.act_cz(*node) else: u = clifford.unitaries[clifford.by_name[str(operation)]] self.act_local_rotation(node, u) def random_pair(n): """ Helper function to get random pairs""" return tuple(random.choice(list(range(n)), 2, replace=False)) def random_graph_circuit(n=10, depth=100): """ A random Graph state. """ return [(i, "hadamard") for i in range(n)] + \ [(random_pair(n), "cz") for i in range(depth)] def random_stabilizer_circuit(n=10, depth=100): """ Generate a random stabilizer state, without any VOPs """ return random_graph_circuit(n, depth) + \ [(i, random.choice(list(range(24)))) for i in range(n)] def bell_pair(): """ Generate a bell pair circuit """ return [(0, "hadamard"), (1, "hadamard"), ((0, 1), "cz")] def named_node_graph(): """ A graph with named nodes""" edges = (0, 1), (1, 2), (2, 0), (0, 3), (100, 200), (200, "named") g = ABPWrapper([0, 1, 2, 3, 100, 200, "named"]) g.act_circuit((i, "hadamard") for i in g.node) g.act_circuit((edge, "cz") for edge in edges) return g def simple_graph(): """ A simple graph to test with""" edges = (0, 1), (1, 2), (2, 0), (0, 3), (100, 200) g = ABPWrapper([0, 1, 2, 3, 100, 200]) g.act_circuit((i, "hadamard") for i in g.node) g.act_circuit((edge, "cz") for edge in edges) return g def circuit_to_state(Base, n, circuit): """ Convert a circuit to a state, given a base class """ g = Base(list(range(n))) g.act_circuit(circuit) return g if __name__ == '__main__': for i in range(1000): test_circuit(random_graph_circuit(10), 10) test_circuit(random_stabilizer_circuit(10), 10)``````