Repository URL to install this package:
|
Version:
5.0.3.post1 ▾
|
import numpy as np
import pytest
import qutip
def real_hermitian(n_levels):
qobj = qutip.Qobj(0.5 - np.random.random_sample((n_levels, n_levels)))
return qobj + qobj.dag()
def imaginary_hermitian(n_levels):
qobj = qutip.Qobj(1j*(0.5 - np.random.random_sample((n_levels, n_levels))))
return qobj + qobj.dag()
def complex_hermitian(n_levels):
return real_hermitian(n_levels) + imaginary_hermitian(n_levels)
def rand_bra(n_levels):
return qutip.rand_ket(n_levels).dag()
@pytest.mark.parametrize("hermitian_constructor", [real_hermitian,
imaginary_hermitian,
complex_hermitian])
@pytest.mark.parametrize("n_levels", [2, 10])
def test_transformation_to_eigenbasis_is_reversible(hermitian_constructor,
n_levels):
"""Transform n-level real-values to eigenbasis and back"""
H1 = hermitian_constructor(n_levels)
_, ekets = H1.eigenstates()
Heb = H1.transform(ekets) # In the eigenbasis (should be diagonal)
H2 = Heb.transform(ekets, True) # Back to original basis
assert (H1 - H2).norm() < 1e-6
@pytest.mark.parametrize("n_levels", [4])
def test_ket_and_dm_transformations_equivalent(n_levels):
"""Consistency between transformations of kets and density matrices."""
psi0 = qutip.rand_ket(n_levels)
# Generate a random basis
_, rand_basis = qutip.rand_dm(n_levels, density=1).eigenstates()
rho1 = qutip.ket2dm(psi0).transform(rand_basis, True)
rho2 = qutip.ket2dm(psi0.transform(rand_basis, True))
assert (rho1 - rho2).norm() < 1e-6
def test_eigenbasis_transformation_makes_diagonal_operator():
"""Check diagonalization via eigenbasis transformation."""
cx, cy, cz = np.random.random_sample((3,))
H = cx*qutip.sigmax() + cy*qutip.sigmay() + cz*qutip.sigmaz()
_, ekets = H.eigenstates()
Heb = H.transform(ekets).tidyup() # Heb should be diagonal
assert abs(Heb.full() - np.diag(Heb.full().diagonal())).max() < 1e-6