Anders and Briegel in Python
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  1. """
  2. Mock graphs used for testing
  3. """
  4. import numpy as np
  5. from abp import GraphState, clifford
  6. from anders_briegel import graphsim
  7. # We always run with A&B's CZ table when we are testing
  8. clifford.use_old_cz()
  9. class AndersWrapper(graphsim.GraphRegister):
  10. """ A wrapper for A&B to make the interface identical and enable equality testing """
  11. def __init__(self, nodes):
  12. assert list(nodes) == range(len(nodes))
  13. super(AndersWrapper, self).__init__(len(nodes))
  14. def act_local_rotation(qubit, operation):
  15. super(AndersWrapper, self).local_op(
  16. qubit, graphsim.LocCliffOp(operation))
  17. def act_cz(a, b):
  18. super(AndersWrapper, self).cphase(a, b)
  19. def measure(qubit, basis, force):
  20. basis = clifford.by_name[basis]
  21. basis = {1: graphsim.lco_X,
  22. 2: graphsim.lco_Y,
  23. 3: graphsim.lco_Z}[clifford.by_name[basis]]
  24. super(AndersWrapper, self).measure(qubit, basis, None, force)
  25. def __str__(self):
  26. return "A wrapped A&B state ({})".format(super(AndersWrapper, self).__str__())
  27. def __repr__(self):
  28. return self.__str__()
  29. class PeteWrapper(GraphState):
  30. """ A wrapper for abp, just to ensure determinism """
  31. def random_graph_state(N=10):
  32. """ A random Graph state. """
  33. for base in PeteWrapper, AndersWrapper:
  34. g = base(range(N))
  35. for i in range(N):
  36. g.act_hadamard(i)
  37. for i in range(10):
  38. j, k = np.random.choice(range(N), 2, replace=False)
  39. g.act_cz(j, k)
  40. yield g
  41. def random_stabilizer_state(N=10):
  42. a, b = random_state()
  43. for i in range(N):
  44. j = np.random.choice(range(N))
  45. k = np.random.choice(range(24))
  46. a.act_local_rotation(j, k)
  47. b.local_op(j, graphsim.LocCliffOp(k))
  48. return a, b
  49. def bell():
  50. a = GraphState(range(2))
  51. b = graphsim.GraphRegister(2)
  52. a.act_hadamard(0)
  53. a.act_hadamard(1)
  54. b.hadamard(0)
  55. b.hadamard(1)
  56. a.act_cz(0, 1)
  57. b.cphase(0, 1)
  58. return a, b
  59. def onequbit():
  60. a = GraphState(range(1))
  61. b = graphsim.GraphRegister(1)
  62. return a, b
  63. def demograph():
  64. """ A graph for testing with """
  65. g = GraphState([0, 1, 2, 3, 100, 200])
  66. g.add_edge(0, 1)
  67. g.add_edge(1, 2)
  68. g.add_edge(2, 0)
  69. g.add_edge(0, 3)
  70. g.add_edge(100, 200)
  71. return g