def test_two_mode_squeezed_var(self):
"""Checking that the variance of samples matches if there was
correlation."""
mode1 = [0]
mode2 = [1]
samples = entangled_gaussian_samples()
var1 = samples_variance(samples, mode1)
var2 = samples_variance(samples, mode2)
assert var1 == var2
def var(self, observable, wires, par):
if observable == "Identity":
return 0
return samples_variance(self.samples, modes=self.map_wires(wires))
def test_fock_backend_integration_var(self, var, modes):
"""Checking the variance when fock states were sampled with a single shot."""
samples = fock_states_samples()
assert samples_variance(samples, modes) == var
def test_quadrature_variance(self, samples, var):
"""Checking the variance of pre-defined homodyne samples."""
assert np.isclose(samples_variance(samples), var)
def test_fock_backend_integration_modes_implicit(self):
"""Checking the variance when modes are specified implicitly."""
samples = fock_states_samples()
var = 0
assert samples_variance(samples) == var