本文整理汇总了Python中qutip.solver.Result.ss方法的典型用法代码示例。如果您正苦于以下问题：Python Result.ss方法的具体用法？Python Result.ss怎么用？Python Result.ss使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类qutip.solver.Result的用法示例。
在下文中一共展示了Result.ss方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: _ssepdpsolve_generic
# 需要导入模块: from qutip.solver import Result [as 别名]
# 或者: from qutip.solver.Result import ss [as 别名]
def _ssepdpsolve_generic(sso, options, progress_bar):
"""
For internal use. See ssepdpsolve.
"""
if debug:
logger.debug(inspect.stack()[0][3])
N_store = len(sso.times)
N_substeps = sso.nsubsteps
dt = (sso.times[1] - sso.times[0]) / N_substeps
nt = sso.ntraj
data = Result()
data.solver = "sepdpsolve"
data.times = sso.tlist
data.expect = np.zeros((len(sso.e_ops), N_store), dtype=complex)
data.ss = np.zeros((len(sso.e_ops), N_store), dtype=complex)
data.jump_times = []
data.jump_op_idx = []
# effective hamiltonian for deterministic part
Heff = sso.H
for c in sso.c_ops:
Heff += -0.5j * c.dag() * c
progress_bar.start(sso.ntraj)
for n in range(sso.ntraj):
progress_bar.update(n)
psi_t = sso.state0.full().ravel()
states_list, jump_times, jump_op_idx = \
_ssepdpsolve_single_trajectory(data, Heff, dt, sso.times,
N_store, N_substeps,
psi_t, sso.state0.dims,
sso.c_ops, sso.e_ops)
data.states.append(states_list)
data.jump_times.append(jump_times)
data.jump_op_idx.append(jump_op_idx)
progress_bar.finished()
# average density matrices
if options.average_states and np.any(data.states):
data.states = [sum([data.states[m][n] for m in range(nt)]).unit()
for n in range(len(data.times))]
# average
data.expect = data.expect / nt
# standard error
if nt > 1:
data.se = (data.ss - nt * (data.expect ** 2)) / (nt * (nt - 1))
else:
data.se = None
# convert complex data to real if hermitian
data.expect = [np.real(data.expect[n, :])
if e.isherm else data.expect[n, :]
for n, e in enumerate(sso.e_ops)]
return data