def TestPlot(self):
try:
import matplotlib.pyplot as plt
except:
return True
# step_func
tlist = np.linspace(0., 2 * np.pi, 20)
processor = Processor(N=1, spline_kind="step_func")
processor.add_ctrl(sigmaz())
processor.tlist = tlist
processor.coeffs = np.array([[np.sin(t) for t in tlist]])
processor.plot_pulses(noisy=False)
plt.clf()
# cubic spline
tlist = np.linspace(0., 2 * np.pi, 20)
processor = Processor(N=1, spline_kind="cubic")
processor.add_ctrl(sigmaz())
processor.tlist = tlist
processor.coeffs = np.array([[np.sin(t) for t in tlist]])
processor.plot_pulses(noisy=False)
plt.clf()
# noisy
processor = Processor(N=1)
processor.add_ctrl(sigmaz(), targets=0)
processor.add_ctrl(sigmay(), targets=0)
processor.coeffs = np.array([[0.5, 0., 0.5], [0., 0.5, 0.]])
processor.tlist = np.array(
[0., np.pi / 2., 2 * np.pi / 2, 3 * np.pi / 2])
processor.plot_pulses(noisy=False)
plt.clf()
processor.plot_pulses(noisy=True)
plt.clf()
def test_save_read(self):
"""
Test for saving and reading a pulse matrix
"""
proc = Processor(N=2)
proc.add_ctrl(sigmaz(), cyclic_permutation=True)
proc1 = Processor(N=2)
proc1.add_ctrl(sigmaz(), cyclic_permutation=True)
proc2 = Processor(N=2)
proc2.add_ctrl(sigmaz(), cyclic_permutation=True)
tlist = [0., 0.1, 0.2, 0.3, 0.4, 0.5]
amp1 = np.arange(0, 5, 1)
amp2 = np.arange(5, 0, -1)
proc.tlist = tlist
proc.coeffs = np.array([amp1, amp2])
proc.save_coeff("qutip_test_CircuitProcessor.txt")
proc1.read_coeff("qutip_test_CircuitProcessor.txt")
os.remove("qutip_test_CircuitProcessor.txt")
assert_allclose(proc1.coeffs, proc.coeffs)
assert_allclose(proc1.tlist, proc.tlist)
proc.save_coeff("qutip_test_CircuitProcessor.txt", inctime=False)
proc2.read_coeff("qutip_test_CircuitProcessor.txt", inctime=False)
os.remove("qutip_test_CircuitProcessor.txt")
assert_allclose(proc2.coeffs, proc.coeffs)
assert_(proc2.tlist is None)
def TestMultiLevelSystem(self):
"""
Test for processor with multi-level system
"""
N = 2
proc = Processor(N=N, dims=[2, 3])
proc.add_ctrl(tensor(sigmaz(), rand_dm(3, density=1.)))
proc.coeffs = np.array([1, 2]).reshape((1, 2))
proc.tlist = np.array([0., 1., 2])
proc.run_state(rho0=tensor([basis(2, 0), basis(3, 1)]))
def TestGetObjevo(self):
tlist = np.array([1, 2, 3, 4, 5, 6], dtype=float)
coeffs = np.array([[1, 1, 1, 1, 1, 1]], dtype=float)
processor = Processor(N=1)
processor.add_ctrl(sigmaz())
processor.tlist = tlist
processor.coeffs = coeffs
# without noise
unitary_qobjevo = processor.get_unitary_qobjevo(args={"test": True})
assert_allclose(unitary_qobjevo.ops[0].qobj, sigmaz())
assert_allclose(unitary_qobjevo.tlist, tlist)
assert_allclose(unitary_qobjevo.ops[0].coeff, coeffs[0])
assert_(unitary_qobjevo.args["test"],
msg="Arguments not correctly passed on")
# with decoherence noise
dec_noise = DecoherenceNoise(c_ops=sigmax(),
coeffs=coeffs,
tlist=tlist)
processor.add_noise(dec_noise)
assert_equal(unitary_qobjevo.to_list(),
processor.get_unitary_qobjevo().to_list())
noisy_qobjevo, c_ops = processor.get_noisy_qobjevo(args={"test": True})
assert_(noisy_qobjevo.args["_step_func_coeff"],
msg="Spline type not correctly passed on")
assert_(noisy_qobjevo.args["test"],
msg="Arguments not correctly passed on")
assert_(sigmaz() in [pair[0] for pair in noisy_qobjevo.to_list()])
assert_equal(c_ops[0].ops[0].qobj, sigmax())
assert_equal(c_ops[0].tlist, tlist)
# with amplitude noise
processor.spline_kind = "cubic"
new_tlist = np.linspace(1, 6, int(5 / 0.2))
new_coeffs = np.random.rand(1, len(new_tlist))
# noise with a different operator
amp_noise = ControlAmpNoise(ops=sigmax(), coeffs=coeffs, tlist=tlist)
processor.add_noise(amp_noise)
noisy_qobjevo, c_ops = processor.get_noisy_qobjevo(args={"test": True})
assert_(not noisy_qobjevo.args["_step_func_coeff"],
msg="Spline type not correctly passed on")
assert_(sigmax() in [pair[0] for pair in noisy_qobjevo.to_list()])
# noise with operators in the processor
# Since the noise operator is also sigmaz,
# it should be merged with the original operator
amp_noise2 = ControlAmpNoise(coeffs=coeffs, tlist=tlist)
processor.noise[1] = amp_noise2
noisy_qobjevo, c_ops = processor.get_noisy_qobjevo(args={"test": True})
assert_(not noisy_qobjevo.args["_step_func_coeff"],
msg="Spline type not correctly passed on")
assert_equal(len(noisy_qobjevo.ops), 1)
assert_equal(sigmaz(), noisy_qobjevo.ops[0].qobj)
assert_equal(coeffs[0] * 2, noisy_qobjevo.ops[0].coeff)
def TestSpline(self):
tlist = np.array([1, 2, 3, 4, 5, 6], dtype=float)
coeffs = np.array([[1, 1, 1, 1, 1, 1]], dtype=float)
processor = Processor(N=1)
processor.add_ctrl(sigmaz())
processor.tlist = tlist
processor.coeffs = coeffs
processor.spline_kind = "step_func"
noisy_qobjevo, c_ops = processor.get_noisy_qobjevo()
assert_(noisy_qobjevo.args["_step_func_coeff"])
processor.spline_kind = "cubic"
noisy_qobjevo, c_ops = processor.get_noisy_qobjevo()
assert_(not noisy_qobjevo.args["_step_func_coeff"])
def TestNoise(self):
"""
Test for Processor with noise
"""
# setup and fidelity without noise
rho0 = qubit_states(2, [0, 0, 0, 0])
tlist = np.array([0., np.pi / 2.])
a = destroy(2)
proc = Processor(N=2)
proc.tlist = tlist
proc.coeffs = np.array([1]).reshape((1, 1))
proc.add_ctrl(sigmax(), targets=1)
result = proc.run_state(rho0=rho0)
assert_allclose(fidelity(result.states[-1],
qubit_states(2, [0, 1, 0, 0])),
1,
rtol=1.e-7)
# decoherence noise
dec_noise = DecoherenceNoise([0.25 * a], targets=1)
proc.add_noise(dec_noise)
result = proc.run_state(rho0=rho0)
assert_allclose(fidelity(result.states[-1],
qubit_states(2, [0, 1, 0, 0])),
0.981852,
rtol=1.e-3)
# white noise with internal/external operators
proc.noise = []
white_noise = RandomNoise(loc=0.1, scale=0.1)
proc.add_noise(white_noise)
result = proc.run_state(rho0=rho0)
proc.noise = []
white_noise = RandomNoise(loc=0.1, scale=0.1, ops=sigmax(), targets=1)
proc.add_noise(white_noise)
result = proc.run_state(rho0=rho0)