def _get_omega(self):
if self._omega is None:
n = self.drift_dyn_gen.shape[0] // 2
omg = sympl.calc_omega(n)
if self.oper_dtype == Qobj:
self._omega = Qobj(omg, dims=self.dyn_dims)
self._omega_qobj = self._omega
elif self.oper_dtype == sp.csr_matrix:
self._omega = sp.csr_matrix(omg)
else:
self._omega = omg
return self._omega
def _get_omega(self):
if self._omega is None:
n = self.drift_dyn_gen.shape[0] // 2
omg = sympl.calc_omega(n)
if self.oper_dtype == Qobj:
self._omega = Qobj(omg, dims=self.dyn_dims)
self._omega_qobj = self._omega
elif self.oper_dtype == sp.csr_matrix:
self._omega = sp.csr_matrix(omg)
else:
self._omega = omg
return self._omega
def get_omega(self):
if self.omega is None:
n = self.drift_dyn_gen.shape[0] // 2
self.omega = sympl.calc_omega(n)
return self.omega
def test_symplectic(self):
"""
Optimise pulse for coupled oscillators with Symplectic dynamics
assert that fidelity error is below threshold
"""
g1 = 1.0
g2 = 0.2
A0 = Qobj(np.array([[1, 0, g1, 0],
[0, 1, 0, g2],
[g1, 0, 1, 0],
[0, g2, 0, 1]]))
A_rot = Qobj(np.array([
[1, 0, 0, 0],
[0, 1, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0]
]))
A_sqz = Qobj(0.4*np.array([
[1, 0, 0, 0],
[0, -1, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0]
]))
A_c = [A_rot, A_sqz]
n_ctrls = len(A_c)
initial = identity(4)
A_targ = Qobj(np.array([
[0, 0, 1, 0],
[0, 0, 0, 1],
[1, 0, 0, 0],
[0, 1, 0, 0]
]))
Omg = Qobj(sympl.calc_omega(2))
S_targ = (-A_targ*Omg*np.pi/2.0).expm()
n_ts = 20
evo_time = 10
result = cpo.optimize_pulse(A0, A_c, initial, S_targ,
n_ts, evo_time,
fid_err_targ=1e-3,
max_iter=200,
dyn_type='SYMPL',
init_pulse_type='ZERO',
gen_stats=True)
assert_(result.goal_achieved, msg="Symplectic goal not achieved")
assert_almost_equal(result.fid_err, 0.0, decimal=2,
err_msg="Symplectic infidelity too high")
# Repeat with Qobj integration
resultq = cpo.optimize_pulse(A0, A_c, initial, S_targ,
n_ts, evo_time,
fid_err_targ=1e-3,
max_iter=200,
dyn_type='SYMPL',
init_pulse_type='ZERO',
dyn_params={'oper_dtype':Qobj},
gen_stats=True)
assert_(result.goal_achieved, msg="Symplectic goal not achieved "
"(Qobj integration)")
# Check same result is achieved using the create objects method
optim = cpo.create_pulse_optimizer(A0, list(A_c),
initial, S_targ,
n_ts, evo_time,
fid_err_targ=1e-3,
dyn_type='SYMPL',
init_pulse_type='ZERO',
gen_stats=True)
dyn = optim.dynamics
p_gen = optim.pulse_generator
init_amps = np.zeros([n_ts, n_ctrls])
for j in range(n_ctrls):
init_amps[:, j] = p_gen.gen_pulse()
dyn.initialize_controls(init_amps)
# Check the exact gradient
func = optim.fid_err_func_wrapper
grad = optim.fid_err_grad_wrapper
x0 = dyn.ctrl_amps.flatten()
grad_diff = check_grad(func, grad, x0)
assert_almost_equal(grad_diff, 0.0, decimal=5,
err_msg="Frechet gradient outside tolerance "
"(SYMPL)")
result2 = optim.run_optimization()
assert_almost_equal(result.fid_err, result2.fid_err, decimal=6,
err_msg="Direct and indirect methods produce "
"different results for Symplectic")
def get_omega(self):
if self.omega is None:
n = self.drift_dyn_gen.shape[0] // 2
self.omega = sympl.calc_omega(n)
return self.omega
def test_07_symplectic(self):
"""
control.pulseoptim: coupled oscillators (symplectic dynamics)
assert that fidelity error is below threshold
"""
g1 = 1.0
g2 = 0.2
A0 = Qobj(
np.array([[1, 0, g1, 0], [0, 1, 0, g2], [g1, 0, 1, 0],
[0, g2, 0, 1]]))
A_rot = Qobj(
np.array([[1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0]]))
A_sqz = Qobj(0.4 * np.array([[1, 0, 0, 0], [0, -1, 0, 0], [0, 0, 0, 0],
[0, 0, 0, 0]]))
A_c = [A_rot, A_sqz]
n_ctrls = len(A_c)
initial = identity(4)
A_targ = Qobj(
np.array([[0, 0, 1, 0], [0, 0, 0, 1], [1, 0, 0, 0], [0, 1, 0, 0]]))
Omg = Qobj(sympl.calc_omega(2))
S_targ = (-A_targ * Omg * np.pi / 2.0).expm()
n_ts = 20
evo_time = 10
result = cpo.optimize_pulse(A0,
A_c,
initial,
S_targ,
n_ts,
evo_time,
fid_err_targ=1e-3,
max_iter=200,
dyn_type='SYMPL',
init_pulse_type='ZERO',
gen_stats=True)
assert_(result.goal_achieved,
msg="Symplectic goal not achieved. "
"Terminated due to: {}, with infidelity: {}".format(
result.termination_reason, result.fid_err))
assert_almost_equal(result.fid_err,
0.0,
decimal=2,
err_msg="Symplectic infidelity too high")
# Repeat with Qobj integration
resultq = cpo.optimize_pulse(A0,
A_c,
initial,
S_targ,
n_ts,
evo_time,
fid_err_targ=1e-3,
max_iter=200,
dyn_type='SYMPL',
init_pulse_type='ZERO',
dyn_params={'oper_dtype': Qobj},
gen_stats=True)
assert_(resultq.goal_achieved,
msg="Symplectic goal not achieved "
"(Qobj integration). "
"Terminated due to: {}, with infidelity: {}".format(
resultq.termination_reason, result.fid_err))
# Check same result is achieved using the create objects method
optim = cpo.create_pulse_optimizer(A0,
list(A_c),
initial,
S_targ,
n_ts,
evo_time,
fid_err_targ=1e-3,
dyn_type='SYMPL',
init_pulse_type='ZERO',
gen_stats=True)
dyn = optim.dynamics
p_gen = optim.pulse_generator
init_amps = np.zeros([n_ts, n_ctrls])
for j in range(n_ctrls):
init_amps[:, j] = p_gen.gen_pulse()
dyn.initialize_controls(init_amps)
# Check the exact gradient
func = optim.fid_err_func_wrapper
grad = optim.fid_err_grad_wrapper
x0 = dyn.ctrl_amps.flatten()
grad_diff = check_grad(func, grad, x0)
assert_almost_equal(grad_diff,
0.0,
decimal=5,
err_msg="Frechet gradient outside tolerance "
"(SYMPL)")
result2 = optim.run_optimization()
assert_almost_equal(result.fid_err,
result2.fid_err,
decimal=6,
err_msg="Direct and indirect methods produce "
"different results for Symplectic")
np.array([[1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0]]))
#Squeeze Control
A_sqz = Qobj(
dyn.sqz *
np.array([[1, 0, 0, 0], [0, -1, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0]]))
dyn.ctrl_dyn_gen = [A_rot, A_sqz]
n_ctrls = dyn.get_num_ctrls()
dyn.initial = identity(4)
# Target
A_targ = Qobj(
np.array([[0, 0, 1, 0], [0, 0, 0, 1], [1, 0, 0, 0], [0, 1, 0, 0]]))
Omg = Qobj(sympl.calc_omega(2))
print("Omega:\n{}\n".format(Omg))
S_targ = (-A_targ * Omg * np.pi / 2.0).expm()
dyn.target = S_targ
#S_targ = (Omg*A_targ*np.pi/2.0).expm()
print("Target S:\n{}\n".format(S_targ))
# Initialise the dynamics
init_amps = np.zeros([n_ts, n_ctrls])
for j in range(n_ctrls):
init_amps[:, j] = p_gen.gen_pulse()
dyn.initialize_controls(init_amps)
f_ext = "{}_n_ts{}_ptype{}.txt".format(example_name, n_ts, cfg.pulse_type)
[0, 0, 0, 0]
]))
dyn.ctrl_dyn_gen = [A_rot, A_sqz]
n_ctrls = dyn.get_num_ctrls()
dyn.initial = identity(4)
# Target
A_targ = Qobj(np.array([
[0, 0, 1, 0],
[0, 0, 0, 1],
[1, 0, 0, 0],
[0, 1, 0, 0]
]))
Omg = Qobj(sympl.calc_omega(2))
print("Omega:\n{}\n".format(Omg))
S_targ = (-A_targ*Omg*np.pi/2.0).expm()
dyn.target = S_targ
#S_targ = (Omg*A_targ*np.pi/2.0).expm()
print("Target S:\n{}\n".format(S_targ))
# Initialise the dynamics
init_amps = np.zeros([n_ts, n_ctrls])
for j in range(n_ctrls):
init_amps[:, j] = p_gen.gen_pulse()
dyn.initialize_controls(init_amps)
