def test_noisy_xy():
np.random.seed(15092021)
simple_reg = Register.square(2, prefix="atom")
detun = 1.0
amp = 3.0
rise = Pulse.ConstantPulse(1500, amp, detun, 0.0)
simple_seq = Sequence(simple_reg, MockDevice)
simple_seq.declare_channel("ch0", "mw_global")
simple_seq.add(rise, "ch0")
sim = Simulation(simple_seq, sampling_rate=0.01)
with pytest.raises(NotImplementedError,
match="mode 'XY' does not support simulation of"):
sim.set_config(SimConfig(("SPAM", "doppler")))
sim.set_config(SimConfig("SPAM", eta=0.4))
assert sim._bad_atoms == {
"atom0": True,
"atom1": False,
"atom2": True,
"atom3": False,
}
with pytest.raises(NotImplementedError,
match="simulation of noise types: amplitude"):
sim.add_config(SimConfig("amplitude"))
def test_dephasing():
np.random.seed(123)
reg = Register.from_coordinates([(0, 0)], prefix="q")
seq = Sequence(reg, Chadoq2)
seq.declare_channel("ch0", "rydberg_global")
duration = 2500
pulse = Pulse.ConstantPulse(duration, np.pi, 0.0 * 2 * np.pi, 0)
seq.add(pulse, "ch0")
sim = Simulation(seq,
sampling_rate=0.01,
config=SimConfig(noise="dephasing"))
assert sim.run().sample_final_state() == Counter({"0": 595, "1": 405})
assert len(sim._collapse_ops) != 0
with pytest.warns(UserWarning, match="first-order"):
reg = Register.from_coordinates([(0, 0), (0, 10)], prefix="q")
seq2 = Sequence(reg, Chadoq2)
seq2.declare_channel("ch0", "rydberg_global")
duration = 2500
pulse = Pulse.ConstantPulse(duration, np.pi, 0.0 * 2 * np.pi, 0)
seq2.add(pulse, "ch0")
sim = Simulation(
seq2,
sampling_rate=0.01,
config=SimConfig(noise="dephasing", dephasing_prob=0.5),
)
def test_config():
np.random.seed(123)
reg = Register.from_coordinates([(0, 0), (0, 5)], prefix="q")
seq = Sequence(reg, Chadoq2)
seq.declare_channel("ch0", "rydberg_global")
duration = 2500
pulse = Pulse.ConstantPulse(duration, np.pi, 0.0 * 2 * np.pi, 0)
seq.add(pulse, "ch0")
sim = Simulation(seq, config=SimConfig(noise="SPAM"))
sim.reset_config()
assert sim.config == SimConfig()
sim.show_config()
with pytest.raises(ValueError, match="not a valid"):
sim.set_config("bad_config")
clean_ham = sim.get_hamiltonian(123)
new_cfg = SimConfig(noise="doppler", temperature=10000)
sim.set_config(new_cfg)
assert sim.config == new_cfg
noisy_ham = sim.get_hamiltonian(123)
assert (noisy_ham[0, 0] != clean_ham[0, 0]
and noisy_ham[3, 3] == clean_ham[3, 3])
sim.set_config(SimConfig(noise="amplitude"))
noisy_amp_ham = sim.get_hamiltonian(123)
assert (noisy_amp_ham[0, 0] == clean_ham[0, 0]
and noisy_amp_ham[0, 1] != clean_ham[0, 1])
def test_noise():
sim2 = Simulation(seq,
sampling_rate=0.01,
config=SimConfig(noise=("SPAM"), eta=0.4))
sim2.run()
with pytest.raises(NotImplementedError, match="Cannot include"):
sim2.set_config(SimConfig(noise="dephasing"))
assert sim2.config.spam_dict == {
"eta": 0.4,
"epsilon": 0.01,
"epsilon_prime": 0.05,
}
def test_sample_final_state_noisy():
np.random.seed(123)
assert results_noisy.sample_final_state(N_samples=1234) == Counter({
"00":
140,
"01":
227,
"10":
221,
"11":
646
})
res_3level = Simulation(seq_no_meas_noisy,
config=SimConfig(noise=("SPAM", "doppler"),
runs=10))
final_state = res_3level.run().states[-1]
assert np.isclose(
final_state.full(),
np.array([
[0.64 + 0.0j, 0.0 + 0.0j, 0.0 + 0.0j, 0.0 + 0.0j],
[0.0 + 0.0j, 0.14 + 0.0j, 0.0 + 0.0j, 0.0 + 0.0j],
[0.0 + 0.0j, 0.0 + 0.0j, 0.1 + 0.0j, 0.0 + 0.0j],
[0.0 + 0.0j, 0.0 + 0.0j, 0.0 + 0.0j, 0.12 + 0.0j],
]),
).all()
def test_sample_final_state():
np.random.seed(123)
sim_no_meas = Simulation(seq_no_meas, config=SimConfig(runs=1))
results_no_meas = sim_no_meas.run()
assert results_no_meas.sample_final_state() == Counter({
"00": 88,
"01": 156,
"10": 188,
"11": 568
})
with pytest.raises(NotImplementedError, match="dimension > 3"):
results_large_dim = deepcopy(results)
results_large_dim._dim = 7
results_large_dim.sample_final_state()
sampling = results.sample_final_state(1234)
assert len(sampling) == 4 # Check that all states were observed.
results._meas_basis = "digital"
sampling0 = results.sample_final_state(N_samples=911)
assert sampling0 == {"00": 911}
seq_no_meas.declare_channel("raman", "raman_local", "B")
seq_no_meas.add(pi, "raman")
res_3level = Simulation(seq_no_meas).run()
# Raman pi pulse on one atom will not affect other,
# even with global pi on rydberg
assert len(res_3level.sample_final_state()) == 2
res_3level._meas_basis = "ground-rydberg"
sampling_three_levelB = res_3level.sample_final_state()
# Rydberg will affect both:
assert len(sampling_three_levelB) == 4
def test_run():
sim = Simulation(seq, sampling_rate=0.01)
sim.set_config(SimConfig("SPAM", eta=0.0))
with patch("matplotlib.pyplot.show"):
with patch("matplotlib.pyplot.savefig"):
sim.draw(draw_phase_area=True, fig_name="my_fig.pdf")
bad_initial = np.array([1.0])
good_initial_array = np.r_[1, np.zeros(sim.dim**sim._size - 1)]
good_initial_qobj = qutip.tensor(
[qutip.basis(sim.dim, 0) for _ in range(sim._size)])
good_initial_qobj_no_dims = qutip.basis(sim.dim**sim._size, 2)
with pytest.raises(ValueError,
match="Incompatible shape of initial state"):
sim.initial_state = bad_initial
with pytest.raises(ValueError,
match="Incompatible shape of initial state"):
sim.initial_state = qutip.Qobj(bad_initial)
sim.initial_state = good_initial_array
sim.run()
sim.initial_state = good_initial_qobj
sim.run()
sim.initial_state = good_initial_qobj_no_dims
sim.run()
seq.measure("ground-rydberg")
sim.run()
assert sim._seq._measurement == "ground-rydberg"
sim.run(progress_bar=True)
sim.run(progress_bar=False)
sim.run(progress_bar=None)
with pytest.raises(
ValueError,
match="`progress_bar` must be a bool.",
):
sim.run(progress_bar=1)
sim.set_config(SimConfig("SPAM", eta=0.1))
with pytest.raises(
NotImplementedError,
match="Can't combine state preparation errors with an initial state "
"different from the ground.",
):
sim.run()
def test_add_config():
reg = Register.from_coordinates([(0, 0)], prefix="q")
seq = Sequence(reg, Chadoq2)
seq.declare_channel("ch0", "rydberg_global")
duration = 2500
pulse = Pulse.ConstantPulse(duration, np.pi, 0.0 * 2 * np.pi, 0)
seq.add(pulse, "ch0")
sim = Simulation(seq,
sampling_rate=0.01,
config=SimConfig(noise="SPAM", eta=0.5))
with pytest.raises(ValueError, match="is not a valid"):
sim.add_config("bad_cfg")
sim.add_config(
SimConfig(noise=("dephasing", "SPAM", "doppler"), temperature=20000))
assert "dephasing" in sim.config.noise and "SPAM" in sim.config.noise
assert sim.config.eta == 0.5
assert sim.config.temperature == 20000.0e-6
sim.set_config(SimConfig(noise="dephasing", laser_waist=175.0))
sim.add_config(SimConfig(noise=("SPAM", "amplitude"), laser_waist=172.0))
assert "amplitude" in sim.config.noise and "SPAM" in sim.config.noise
assert sim.config.laser_waist == 172.0
def test_expect():
with pytest.raises(TypeError, match="must be a list"):
results.expect("bad_observable")
with pytest.raises(TypeError, match="Incompatible type"):
results.expect(["bad_observable"])
with pytest.raises(ValueError, match="Incompatible shape"):
results.expect([np.array(3)])
reg_single = Register.from_coordinates([(0, 0)], prefix="q")
seq_single = Sequence(reg_single, Chadoq2)
seq_single.declare_channel("ryd", "rydberg_global")
seq_single.add(pi, "ryd")
sim_single = Simulation(seq_single)
results_single = sim_single.run()
op = [qutip.basis(2, 0).proj()]
exp = results_single.expect(op)[0]
assert np.isclose(exp[-1], 1)
assert len(exp) == duration + 1 # +1 for the final instant
np.testing.assert_almost_equal(
results_single._calc_pseudo_density(-1).full(),
np.array([[1, 0], [0, 0]]),
)
config = SimConfig(noise="SPAM", eta=0)
sim_single.set_config(config)
sim_single.evaluation_times = "Minimal"
results_single = sim_single.run()
exp = results_single.expect(op)[0]
assert len(exp) == 2
assert isinstance(results_single, CoherentResults)
assert results_single._meas_errors == {
"epsilon": config.epsilon,
"epsilon_prime": config.epsilon_prime,
}
# Probability of measuring 1 = probability of false positive
assert np.isclose(exp[0], config.epsilon)
# Probability of measuring 1 = 1 - probability of false negative
assert np.isclose(exp[-1], 1 - config.epsilon_prime)
np.testing.assert_almost_equal(
results_single._calc_pseudo_density(-1).full(),
np.array([[1 - config.epsilon_prime, 0], [0, config.epsilon_prime]]),
)
seq3dim = Sequence(reg, Chadoq2)
seq3dim.declare_channel("ryd", "rydberg_global")
seq3dim.declare_channel("ram", "raman_local", initial_target="A")
seq3dim.add(pi, "ram")
seq3dim.add(pi, "ryd")
sim3dim = Simulation(seq3dim)
exp3dim = sim3dim.run().expect(
[qutip.tensor(qutip.basis(3, 0).proj(), qutip.qeye(3))])
assert np.isclose(exp3dim[0][-1], 1.89690200e-14)
def test_get_hamiltonian():
simple_reg = Register.from_coordinates([[10, 0], [0, 0]], prefix="atom")
detun = 1.0
rise = Pulse.ConstantDetuning(RampWaveform(1500, 0.0, 2.0), detun, 0.0)
simple_seq = Sequence(simple_reg, Chadoq2)
simple_seq.declare_channel("ising", "rydberg_global")
simple_seq.add(rise, "ising")
simple_sim = Simulation(simple_seq, sampling_rate=0.01)
with pytest.raises(ValueError, match="less than or equal to"):
simple_sim.get_hamiltonian(1650)
with pytest.raises(ValueError, match="greater than or equal to"):
simple_sim.get_hamiltonian(-10)
# Constant detuning, so |rr><rr| term is C_6/r^6 - 2*detuning for any time
simple_ham = simple_sim.get_hamiltonian(143)
assert np.isclose(simple_ham[0, 0],
Chadoq2.interaction_coeff / 10**6 - 2 * detun)
np.random.seed(123)
simple_sim_noise = Simulation(simple_seq,
config=SimConfig(noise="doppler",
temperature=20000))
simple_ham_noise = simple_sim_noise.get_hamiltonian(144)
assert np.isclose(
simple_ham_noise.full(),
np.array([
[
4.47984523 + 0.0j,
0.09606404 + 0.0j,
0.09606404 + 0.0j,
0.0 + 0.0j,
],
[
0.09606404 + 0.0j,
12.03082372 + 0.0j,
0.0 + 0.0j,
0.09606404 + 0.0j,
],
[
0.09606404 + 0.0j,
0.0 + 0.0j,
-12.97113702 + 0.0j,
0.09606404 + 0.0j,
],
[0.0 + 0.0j, 0.09606404 + 0.0j, 0.09606404 + 0.0j, 0.0 + 0.0j],
]),
).all()
def test_effective_size_disjoint():
simple_reg = Register.square(2, prefix="atom")
rise = Pulse.ConstantPulse(1500, 0, 0, 0)
for channel_type in ["mw_global", "rydberg_global", "raman_global"]:
np.random.seed(15092021)
seq = Sequence(simple_reg, MockDevice)
seq.declare_channel("ch0", channel_type)
seq.add(rise, "ch0")
seq.config_slm_mask(["atom1"])
sim = Simulation(seq, sampling_rate=0.01)
sim.set_config(SimConfig("SPAM", eta=0.4))
assert sim._bad_atoms == {
"atom0": True,
"atom1": False,
"atom2": True,
"atom3": False,
}
assert sim.get_hamiltonian(0) == 0 * sim.build_operator(
[("I", "global")])
def test_get_final_state_noisy():
np.random.seed(123)
seq_ = Sequence(reg, Chadoq2)
seq_.declare_channel("ram", "raman_local", initial_target="A")
seq_.add(pi, "ram")
noisy_config = SimConfig(noise=("SPAM", "doppler"))
sim_noisy = Simulation(seq_, config=noisy_config)
res3 = sim_noisy.run()
res3._meas_basis = "digital"
final_state = res3.get_final_state()
assert isdiagonal(final_state)
res3._meas_basis = "ground-rydberg"
assert (final_state[0, 0] == 0.06666666666666667 + 0j
and final_state[2, 2] == 0.92 + 0j)
assert res3.states[-1] == final_state
assert res3.results[-1] == Counter({
"10": 0.92,
"00": 0.06666666666666667,
"11": 0.013333333333333334
})
def test_init():
config = SimConfig(
noise=("SPAM", "doppler", "dephasing", "amplitude"),
temperature=1000.0,
runs=100,
)
str_config = config.__str__(True)
assert ("SPAM, doppler, dephasing, amplitude" in str_config
and "1000.0µK" in str_config and "100" in str_config
and "Solver Options" in str_config)
with pytest.raises(ValueError, match="is not a valid noise type."):
SimConfig(noise="bad_noise")
with pytest.raises(ValueError, match="Temperature field"):
SimConfig(temperature=-1.0)
with pytest.raises(ValueError, match="SPAM parameter"):
SimConfig(eta=-1.0)
def test_cuncurrent_pulses():
reg = Register({"q0": (0, 0)})
seq = Sequence(reg, Chadoq2)
seq.declare_channel("ch_local", "rydberg_local", initial_target="q0")
seq.declare_channel("ch_global", "rydberg_global")
pulse = Pulse.ConstantPulse(20, 10, 0, 0)
seq.add(pulse, "ch_local")
seq.add(pulse, "ch_global", protocol="no-delay")
# Clean simulation
sim_no_noise = Simulation(seq)
# Noisy simulation
sim_with_noise = Simulation(seq)
config_doppler = SimConfig(noise=("doppler"))
sim_with_noise.set_config(config_doppler)
for t in sim_no_noise.evaluation_times:
ham_no_noise = sim_no_noise.get_hamiltonian(t)
ham_with_noise = sim_with_noise.get_hamiltonian(t)
assert ham_no_noise[0, 1] == ham_with_noise[0, 1]
reg = Register(q_dict)
duration = 1000
pi = Pulse.ConstantDetuning(BlackmanWaveform(duration, np.pi), 0.0, 0)
seq = Sequence(reg, Chadoq2)
# Declare Channels
seq.declare_channel("ryd", "rydberg_global")
seq.add(pi, "ryd")
seq_no_meas = deepcopy(seq)
seq_no_meas_noisy = deepcopy(seq)
seq.measure("ground-rydberg")
sim = Simulation(seq)
cfg_noisy = SimConfig(noise=("SPAM", "doppler", "amplitude"))
sim_noisy = Simulation(seq, config=cfg_noisy)
results = sim.run()
results_noisy = sim_noisy.run()
state = qutip.tensor([qutip.basis(2, 0), qutip.basis(2, 0)])
ground = qutip.tensor([qutip.basis(2, 1), qutip.basis(2, 1)])
def test_initialization():
with pytest.raises(ValueError, match="`basis_name` must be"):
CoherentResults(state, 2, "bad_basis", None, [0])
with pytest.raises(
ValueError,
match="`meas_basis` must be 'ground-rydberg' or 'digital'."):
CoherentResults(state, 1, "all", None, "XY")