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, label="sx")
proc.set_all_coeffs({"sx": np.array([1.])})
proc.set_all_tlist(tlist)
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.model._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 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.)), label="sz0")
proc.set_all_coeffs({"sz0": np.array([1, 2])})
proc.set_all_tlist(np.array([0., 1., 2]))
proc.run_state(init_state=tensor([basis(2, 0), basis(3, 1)]))
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 test_id_with_T1_T2(self):
"""
Test for identity evolution with relaxation t1 and t2
"""
# setup
a = destroy(2)
Hadamard = hadamard_transform(1)
ex_state = basis(2, 1)
mines_state = (basis(2, 1) - basis(2, 0)).unit()
end_time = 2.
tlist = np.arange(0, end_time + 0.02, 0.02)
t1 = 1.
t2 = 0.5
# test t1
test = Processor(1, t1=t1)
# zero ham evolution
test.add_pulse(Pulse(identity(2), 0, tlist, False))
result = test.run_state(ex_state, e_ops=[a.dag() * a])
assert_allclose(result.expect[0][-1],
np.exp(-1. / t1 * end_time),
rtol=1e-5,
err_msg="Error in t1 time simulation")
# test t2
test = Processor(1, t2=t2)
test.add_pulse(Pulse(identity(2), 0, tlist, False))
result = test.run_state(init_state=mines_state,
e_ops=[Hadamard * a.dag() * a * Hadamard])
assert_allclose(result.expect[0][-1],
np.exp(-1. / t2 * end_time) * 0.5 + 0.5,
rtol=1e-5,
err_msg="Error in t2 time simulation")
# test t1 and t2
t1 = np.random.rand(1) + 0.5
t2 = np.random.rand(1) * 0.5 + 0.5
test = Processor(1, t1=t1, t2=t2)
test.add_pulse(Pulse(identity(2), 0, tlist, False))
result = test.run_state(init_state=mines_state,
e_ops=[Hadamard * a.dag() * a * Hadamard])
assert_allclose(result.expect[0][-1],
np.exp(-1. / t2 * end_time) * 0.5 + 0.5,
rtol=1e-5,
err_msg="Error in t1 & t2 simulation, "
"with t1={} and t2={}".format(t1, t2))
def test_no_saving_intermidiate_state(self):
processor = Processor(1)
processor.add_pulse(pulse=Pulse(sigmax(),
coeff=np.ones(10),
tlist=np.linspace(0, 1, 10),
targets=0))
result = processor.run_state(basis(2, 0), tlist=[0, 1])
assert (len(result.states) == 2)
def test_user_defined_noise(self):
"""
Test for the user-defined noise object
"""
dr_noise = DriftNoise(sigmax())
proc = Processor(1)
proc.add_noise(dr_noise)
tlist = np.array([0, np.pi / 2.])
proc.add_pulse(Pulse(identity(2), 0, tlist, False))
result = proc.run_state(init_state=basis(2, 0))
assert_allclose(fidelity(result.states[-1], basis(2, 1)),
1,
rtol=1.0e-6)
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_id_evolution(self):
"""
Test for identity evolution
"""
N = 1
proc = Processor(N=N)
init_state = rand_ket(2)
tlist = [0., 1., 2.]
proc.add_pulse(Pulse(identity(2), 0, tlist, False))
result = proc.run_state(
init_state, options=Options(store_final_state=True))
global_phase = init_state.data[0, 0]/result.final_state.data[0, 0]
assert_allclose(global_phase*result.final_state, init_state)
def testChooseSolver(self):
# setup and fidelity without noise
init_state = qubit_states(2, [0, 0, 0, 0])
tlist = np.linspace(0., np.pi / 2., 10)
a = destroy(2)
proc = Processor(N=2, t2=100)
proc.add_control(sigmax(), targets=1, label="sx")
proc.set_all_coeffs({"sx": np.array([1.] * len(tlist))})
proc.set_all_tlist(tlist)
observerable = tensor([qutip.qeye(2), qutip.sigmax()])
result1 = proc.run_state(init_state=init_state,
solver="mcsolve",
e_ops=observerable)
assert result1.solver == "mcsolve"
def test_repeated_use_of_processor(self):
processor = Processor(1, t1=1.)
processor.add_pulse(Pulse(sigmax(), targets=0, coeff=True))
result1 = processor.run_state(basis(2, 0), tlist=np.linspace(0, 1, 10))
result2 = processor.run_state(basis(2, 0), tlist=np.linspace(0, 1, 10))
assert_allclose(result1.states[-1].full(), result2.states[-1].full())