def test_two_mode_squeezed_expval(self):
"""Checking that the expectation value of samples matches if there was
correlation."""
mode1 = [0]
mode2 = [1]
samples = entangled_gaussian_samples()
expval1 = samples_expectation(samples, mode1)
expval2 = samples_expectation(samples, mode2)
assert expval1 == expval2
def expval(self, observable, wires, par):
if observable == "Identity":
return 1
return samples_expectation(self.samples, modes=self.map_wires(wires))
def test_fock_backend_integration_expval(self, expval, modes):
"""Checking the expectation values when fock states were sampled with a single shot."""
samples = fock_states_samples()
assert samples_expectation(samples, modes) == expval
def test_fock_backend_integration_modes_implicit(self):
"""Checking the expectation values when modes are specified implicitly."""
samples = fock_states_samples()
expval = 2 * 3 * 4
assert samples_expectation(samples) == expval
def test_quadrature_expval(self, samples, expval):
"""Checking the expectation value of pre-defined homodyne samples."""
assert np.isclose(samples_expectation(samples), expval)