def test_ising_to_quadraticprogram_quadratic(self):
""" Test optimization problem to operators with linear=False"""
op = QUBIT_OP_MAXIMIZE_SAMPLE
offset = OFFSET_MAXIMIZE_SAMPLE
op2qp = IsingToQuadraticProgram(linear=False)
quadratic = op2qp.encode(op, offset)
self.assertEqual(len(quadratic.variables), 4)
self.assertEqual(len(quadratic.linear_constraints), 0)
self.assertEqual(len(quadratic.quadratic_constraints), 0)
self.assertEqual(quadratic.objective.sense,
quadratic.objective.Sense.MINIMIZE)
self.assertAlmostEqual(quadratic.objective.constant, 900000)
quadratic_matrix = np.zeros((4, 4))
quadratic_matrix[0, 0] = -500001
quadratic_matrix[0, 1] = 400000
quadratic_matrix[0, 2] = 600000
quadratic_matrix[0, 3] = 800000
quadratic_matrix[1, 1] = -800001
quadratic_matrix[1, 2] = 1200000
quadratic_matrix[1, 3] = 1600000
quadratic_matrix[2, 2] = -900001
quadratic_matrix[2, 3] = 2400000
quadratic_matrix[3, 3] = -800001
np.testing.assert_array_almost_equal(
quadratic.objective.quadratic.coefficients.toarray(),
quadratic_matrix)
def test_ising_to_quadraticprogram_linear_deprecated(self):
""" Test optimization problem to operators with linear=True"""
op = QUBIT_OP_MAXIMIZE_SAMPLE
offset = OFFSET_MAXIMIZE_SAMPLE
try:
warnings.filterwarnings(action="ignore",
category=DeprecationWarning)
op2qp = IsingToQuadraticProgram(linear=True)
finally:
warnings.filterwarnings(action="always",
category=DeprecationWarning)
quadratic = op2qp.encode(op, offset)
self.assertEqual(len(quadratic.variables), 4)
self.assertEqual(len(quadratic.linear_constraints), 0)
self.assertEqual(len(quadratic.quadratic_constraints), 0)
self.assertEqual(quadratic.objective.sense,
quadratic.objective.Sense.MINIMIZE)
self.assertAlmostEqual(quadratic.objective.constant, 900000)
linear_matrix = np.zeros((1, 4))
linear_matrix[0, 0] = -500001
linear_matrix[0, 1] = -800001
linear_matrix[0, 2] = -900001
linear_matrix[0, 3] = -800001
quadratic_matrix = np.zeros((4, 4))
quadratic_matrix[0, 1] = 400000
quadratic_matrix[0, 2] = 600000
quadratic_matrix[1, 2] = 1200000
quadratic_matrix[0, 3] = 800000
quadratic_matrix[1, 3] = 1600000
quadratic_matrix[2, 3] = 2400000
np.testing.assert_array_almost_equal(
quadratic.objective.linear.coefficients.toarray(), linear_matrix)
np.testing.assert_array_almost_equal(
quadratic.objective.quadratic.coefficients.toarray(),
quadratic_matrix)
