Anders and Briegel in Python
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  1. from abp import GraphState
  2. from abp import CircuitModel
  3. from abp import clifford
  4. import numpy as np
  5. import random
  6. from tqdm import tqdm
  7. REPEATS = 1
  8. def test_single_qubit():
  9. """ A multi qubit test with Hadamards only"""
  10. for repeat in tqdm(range(REPEATS), desc="Testing against circuit model"):
  11. g = GraphState([0])
  12. c = CircuitModel(1)
  13. for i in range(100):
  14. op = random.randint(0, 23)
  15. g.act_local_rotation(0, op)
  16. c.act_local_rotation(0, clifford.unitaries[op])
  17. assert g.to_state_vector() == c
  18. def test_hadamard_only_multiqubit(n=6):
  19. """ A multi qubit test with Hadamards only"""
  20. for repeat in tqdm(range(REPEATS), desc="Testing against circuit model"):
  21. g = GraphState(range(n))
  22. c = CircuitModel(n)
  23. for i in range(n):
  24. g.act_hadamard(i)
  25. c.act_hadamard(i)
  26. assert g.to_state_vector() == c
  27. for i in range(100):
  28. a, b = np.random.randint(0, n - 1, 2)
  29. if a != b:
  30. g.act_cz(a, b)
  31. c.act_cz(a, b)
  32. assert g.to_state_vector() == c
  33. def test_all_multiqubit(n=4):
  34. """ A multi qubit test with arbitrary local rotations """
  35. g = GraphState(range(n))
  36. c = CircuitModel(n)
  37. for i in range(10):
  38. qubit = np.random.randint(0, n - 1)
  39. rotation = np.random.randint(0, 24 - 1)
  40. g.act_local_rotation(qubit, rotation)
  41. c.act_local_rotation(qubit, clifford.unitaries[rotation])
  42. assert g.to_state_vector() == c
  43. for repeat in tqdm(range(REPEATS), desc="Testing against circuit model"):
  44. a, b = np.random.randint(0, n - 1, 2)
  45. if a != b:
  46. g.act_cz(a, b)
  47. c.act_cz(a, b)
  48. assert np.allclose(np.sum(np.abs(c.state) ** 2), 1)
  49. assert np.allclose(
  50. np.sum(np.abs(g.to_state_vector().state) ** 2), 1)
  51. assert g.to_state_vector() == c
  52. assert g.to_state_vector() == c
  53. def test_all(n=4):
  54. """ A multi qubit test with arbitrary local rotations """
  55. g = GraphState(range(n))
  56. c = CircuitModel(n)
  57. depth = 100 # TODO: too small
  58. for step in tqdm(xrange(depth), "Testing a deep circuit against the circuit model"):
  59. if random.random()>0.5:
  60. qubit = np.random.randint(0, n - 1)
  61. rotation = np.random.randint(0, 24 - 1)
  62. g.act_local_rotation(qubit, rotation)
  63. c.act_local_rotation(qubit, clifford.unitaries[rotation])
  64. else:
  65. a, b = np.random.randint(0, n - 1, 2)
  66. if a != b:
  67. g.act_cz(a, b)
  68. c.act_cz(a, b)
  69. assert g.to_state_vector() == c
  70. #print g.to_state_vector()
  71. #print c