def TestNoise(self):
"""
Test for Processor with noise
"""
# setup and fidelity without noise
init_state = qubit_states(2, [0, 0, 0, 0])
tlist = np.array([0., np.pi/2.])
a = destroy(2)
proc = Processor(N=2)
proc.add_control(sigmax(), targets=1)
proc.pulses[0].tlist = tlist
proc.pulses[0].coeff = np.array([1])
result = proc.run_state(init_state=init_state)
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(init_state=init_state)
assert_allclose(
fidelity(result.states[-1], qubit_states(2, [0, 1, 0, 0])),
0.981852, rtol=1.e-3)
# white random noise
proc.noise = []
white_noise = RandomNoise(0.2, np.random.normal, loc=0.1, scale=0.1)
proc.add_noise(white_noise)
result = proc.run_state(init_state=init_state)
def TestPlot(self):
"""
Test for plotting functions
"""
try:
import matplotlib.pyplot as plt
except Exception:
return True
# step_func
tlist = np.linspace(0., 2*np.pi, 20)
processor = Processor(N=1, spline_kind="step_func")
processor.add_control(sigmaz())
processor.pulses[0].tlist = tlist
processor.pulses[0].coeff = np.array([np.sin(t) for t in tlist])
processor.plot_pulses()
plt.clf()
# cubic spline
tlist = np.linspace(0., 2*np.pi, 20)
processor = Processor(N=1, spline_kind="cubic")
processor.add_control(sigmaz())
processor.pulses[0].tlist = tlist
processor.pulses[0].coeff = np.array([np.sin(t) for t in tlist])
processor.plot_pulses()
plt.clf()
def testPlot(self):
"""
Test for plotting functions
"""
try:
import matplotlib.pyplot as plt
except Exception:
return True
# step_func
tlist = np.linspace(0., 2 * np.pi, 20)
processor = Processor(N=1, spline_kind="step_func")
processor.add_control(sigmaz())
processor.pulses[0].tlist = tlist
processor.pulses[0].coeff = np.array([np.sin(t) for t in tlist])
fig, _ = processor.plot_pulses()
# testing under Xvfb with pytest-xvfb complains if figure windows are
# left open, so we politely close it:
plt.close(fig)
# cubic spline
tlist = np.linspace(0., 2 * np.pi, 20)
processor = Processor(N=1, spline_kind="cubic")
processor.add_control(sigmaz())
processor.pulses[0].tlist = tlist
processor.pulses[0].coeff = np.array([np.sin(t) for t in tlist])
fig, _ = processor.plot_pulses()
# testing under Xvfb with pytest-xvfb complains if figure windows are
# left open, so we politely close it:
plt.close(fig)
def TestMultiLevelSystem(self):
"""
Test for processor with multi-level system
"""
N = 2
proc = Processor(N=N, dims=[2, 3])
proc.add_control(tensor(sigmaz(), rand_dm(3, density=1.)))
proc.pulses[0].coeff = np.array([1, 2])
proc.pulses[0].tlist = np.array([0., 1., 2])
proc.run_state(init_state=tensor([basis(2, 0), basis(3, 1)]))
def TestGetObjevo(self):
tlist = np.array([1, 2, 3, 4, 5, 6], dtype=float)
coeff = np.array([1, 1, 1, 1, 1, 1], dtype=float)
processor = Processor(N=1)
processor.add_control(sigmaz())
processor.pulses[0].tlist = tlist
processor.pulses[0].coeff = coeff
# without noise
unitary_qobjevo, _ = processor.get_qobjevo(
args={"test": True}, noisy=False)
assert_allclose(unitary_qobjevo.ops[0].qobj, sigmaz())
assert_allclose(unitary_qobjevo.tlist, tlist)
assert_allclose(unitary_qobjevo.ops[0].coeff, coeff[0])
assert_(unitary_qobjevo.args["test"],
msg="Arguments not correctly passed on")
# with decoherence noise
dec_noise = DecoherenceNoise(
c_ops=sigmax(), coeff=coeff, tlist=tlist)
processor.add_noise(dec_noise)
assert_equal(unitary_qobjevo.to_list(),
processor.get_qobjevo(noisy=False)[0].to_list())
noisy_qobjevo, c_ops = processor.get_qobjevo(
args={"test": True}, noisy=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 = Processor(N=1, spline_kind="cubic")
processor.add_control(sigmaz())
tlist = np.linspace(1, 6, int(5/0.2))
coeff = np.random.rand(len(tlist))
processor.pulses[0].tlist = tlist
processor.pulses[0].coeff = coeff
amp_noise = ControlAmpNoise(coeff=coeff, tlist=tlist)
processor.add_noise(amp_noise)
noisy_qobjevo, c_ops = processor.get_qobjevo(
args={"test": True}, noisy=True)
assert_(not 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_equal(len(noisy_qobjevo.ops), 2)
assert_equal(sigmaz(), noisy_qobjevo.ops[0].qobj)
assert_allclose(coeff, noisy_qobjevo.ops[0].coeff, rtol=1.e-10)
def TestChooseSolver(self):
# setup and fidelity without noise
init_state = qubit_states(2, [0, 0, 0, 0])
tlist = np.array([0., np.pi/2.])
a = destroy(2)
proc = Processor(N=2)
proc.add_control(sigmax(), targets=1)
proc.pulses[0].tlist = tlist
proc.pulses[0].coeff = np.array([1])
result = proc.run_state(init_state=init_state, solver="mcsolve")
assert_allclose(
fidelity(result.states[-1], qubit_states(2, [0, 1, 0, 0])),
1, rtol=1.e-7)
def test_save_read(self):
"""
Test for saving and reading a pulse matrix
"""
proc = Processor(N=2)
proc.add_control(sigmaz(), cyclic_permutation=True)
proc1 = Processor(N=2)
proc1.add_control(sigmaz(), cyclic_permutation=True)
proc2 = Processor(N=2)
proc2.add_control(sigmaz(), cyclic_permutation=True)
# TODO generalize to different tlist
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.pulses[0].tlist = tlist
proc.pulses[0].coeff = amp1
proc.pulses[1].tlist = tlist
proc.pulses[1].coeff = amp2
proc.save_coeff("qutip_test_CircuitProcessor.txt")
proc1.read_coeff("qutip_test_CircuitProcessor.txt")
os.remove("qutip_test_CircuitProcessor.txt")
assert_allclose(proc1.get_full_coeffs(), proc.get_full_coeffs())
assert_allclose(proc1.get_full_tlist(), proc.get_full_tlist())
proc.save_coeff("qutip_test_CircuitProcessor.txt", inctime=False)
proc2.read_coeff("qutip_test_CircuitProcessor.txt", inctime=False)
proc2.set_all_tlist(tlist)
os.remove("qutip_test_CircuitProcessor.txt")
assert_allclose(proc2.get_full_coeffs(), proc.get_full_coeffs())
def TestSpline(self):
"""
Test if the spline kind is correctly transfered into
the arguments in QobjEvo
"""
tlist = np.array([1, 2, 3, 4, 5, 6], dtype=float)
coeff = np.array([1, 1, 1, 1, 1, 1], dtype=float)
processor = Processor(N=1, spline_kind="step_func")
processor.add_control(sigmaz())
processor.pulses[0].tlist = tlist
processor.pulses[0].coeff = coeff
ideal_qobjevo, _ = processor.get_qobjevo(noisy=False)
assert_(ideal_qobjevo.args["_step_func_coeff"])
noisy_qobjevo, c_ops = processor.get_qobjevo(noisy=True)
assert_(noisy_qobjevo.args["_step_func_coeff"])
processor.T1 = 100.
processor.add_noise(ControlAmpNoise(coeff=coeff, tlist=tlist))
noisy_qobjevo, c_ops = processor.get_qobjevo(noisy=True)
assert_(noisy_qobjevo.args["_step_func_coeff"])
tlist = np.array([1, 2, 3, 4, 5, 6], dtype=float)
coeff = np.array([1, 1, 1, 1, 1, 1], dtype=float)
processor = Processor(N=1, spline_kind="cubic")
processor.add_control(sigmaz())
processor.pulses[0].tlist = tlist
processor.pulses[0].coeff = coeff
ideal_qobjevo, _ = processor.get_qobjevo(noisy=False)
assert_(not ideal_qobjevo.args["_step_func_coeff"])
noisy_qobjevo, c_ops = processor.get_qobjevo(noisy=True)
assert_(not noisy_qobjevo.args["_step_func_coeff"])
processor.T1 = 100.
processor.add_noise(ControlAmpNoise(coeff=coeff, tlist=tlist))
noisy_qobjevo, c_ops = processor.get_qobjevo(noisy=True)
assert_(not noisy_qobjevo.args["_step_func_coeff"])
def test_modify_ctrls(self):
"""
Test for modifying Hamiltonian, add_control, remove_pulse
"""
N = 2
proc = Processor(N=N)
proc.ctrls
proc.add_control(sigmaz())
assert_(tensor([sigmaz(), identity(2)]), proc.ctrls[0])
proc.add_control(sigmax(), cyclic_permutation=True)
assert_allclose(len(proc.ctrls), 3)
assert_allclose(tensor([sigmax(), identity(2)]), proc.ctrls[1])
assert_allclose(tensor([identity(2), sigmax()]), proc.ctrls[2])
proc.add_control(sigmay(), targets=1)
assert_allclose(tensor([identity(2), sigmay()]), proc.ctrls[3])
proc.remove_pulse([0, 1, 2])
assert_allclose(tensor([identity(2), sigmay()]), proc.ctrls[0])
proc.remove_pulse(0)
assert_allclose(len(proc.ctrls), 0)