def testLiouvillianImplem(self):
"""
Superoperator: Randomized comparison of standard and reference
Liouvillian functions.
"""
N1 = 3
N2 = 4
N3 = 5
a1 = tensor(rand_dm(N1, density=0.75), identity(N2), identity(N3))
a2 = tensor(identity(N1), rand_dm(N2, density=0.75), identity(N3))
a3 = tensor(identity(N1), identity(N2), rand_dm(N3, density=0.75))
H = a1.dag() * a1 + a2.dag() * a2 + a3.dag() * a3
c_ops = [np.sqrt(0.01) * a1, np.sqrt(0.025) * a2, np.sqrt(0.05) * a3]
L1 = liouvillian(H, c_ops)
L2 = liouvillian_ref(H, c_ops)
assert_((L1 - L2).norm('max') < 1e-8)
def testLiouvillianImplem(self):
"""
Superoperator: Randomized comparison of standard and reference
Liouvillian functions.
"""
N1 = 3
N2 = 4
N3 = 5
a1 = tensor(rand_dm(N1, density=0.75), identity(N2), identity(N3))
a2 = tensor(identity(N1), rand_dm(N2, density=0.75), identity(N3))
a3 = tensor(identity(N1), identity(N2), rand_dm(N3, density=0.75))
H = a1.dag() * a1 + a2.dag() * a2 + a3.dag() * a3
c_ops = [np.sqrt(0.01) * a1, np.sqrt(0.025) * a2, np.sqrt(0.05) * a3]
L1 = liouvillian(H, c_ops)
L2 = liouvillian_ref(H, c_ops)
assert_((L1 - L2).norm('max') < 1e-8)