本文整理汇总了Python中qutip.qobj.Qobj.type方法的典型用法代码示例。如果您正苦于以下问题：Python Qobj.type方法的具体用法？Python Qobj.type怎么用？Python Qobj.type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.qobj.Qobj的用法示例。
在下文中一共展示了Qobj.type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: tensor
# 需要导入模块: from qutip.qobj import Qobj [as 别名]
# 或者: from qutip.qobj.Qobj import type [as 别名]
def tensor(*args):
"""Calculates the tensor product of input operators.
Parameters
----------
args : array_like
``list`` or ``array`` of quantum objects for tensor product.
Returns
--------
obj : qobj
A composite quantum object.
Examples
--------
>>> tensor([sigmax(), sigmax()])
Quantum object: dims = [[2, 2], [2, 2]], \
shape = [4, 4], type = oper, isHerm = True
Qobj data =
[[ 0.+0.j 0.+0.j 0.+0.j 1.+0.j]
[ 0.+0.j 0.+0.j 1.+0.j 0.+0.j]
[ 0.+0.j 1.+0.j 0.+0.j 0.+0.j]
[ 1.+0.j 0.+0.j 0.+0.j 0.+0.j]]
"""
if not args:
raise TypeError("Requires at least one input argument")
num_args = len(args)
step = 0
isherm = True
for n in range(num_args):
if isinstance(args[n], Qobj):
qos = args[n]
if step == 0:
dat = qos.data
dim = qos.dims
shp = qos.shape
isherm = isherm and qos.isherm
step = 1
else:
dat = sp.kron(dat, qos.data, format='csr')
isherm = isherm and qos.isherm
dim = [dim[0] + qos.dims[0],
dim[1] + qos.dims[1]] # append dimensions of Qobjs
shp = [dat.shape[0], dat.shape[1]] # new shape of matrix
elif isinstance(args[n], (list, ndarray)):
qos = args[n]
items = len(qos) # number of inputs
if not all([isinstance(k, Qobj) for k in qos]):
# raise error if one of the inputs is not a quantum object
raise TypeError("One of inputs is not a quantum object")
if items == 1: # if only one Qobj, do nothing
if step == 0:
dat = qos[0].data
dim = qos[0].dims
shp = qos[0].shape
isherm = isherm and qos[0].isherm
step = 1
else:
dat = sp.kron(dat, qos[0].data, format='csr')
isherm = isherm and qos[0].isherm
dim = [dim[0] + qos[0].dims[0],
dim[1] + qos[0].dims[1]] # append dimensions of qos
shp = [dat.shape[0], dat.shape[1]] # new shape of matrix
elif items != 1:
if step == 0:
dat = qos[0].data
dim = qos[0].dims
shp = qos[0].shape
step = 1
isherm = isherm and qos[0].isherm
for k in range(items - 1): # cycle over all items
dat = sp.kron(dat, qos[k + 1].data, format='csr')
isherm = isherm and qos[k + 1].isherm
dim = [dim[0] + qos[k + 1].dims[0],
dim[1] + qos[k + 1].dims[1]]
shp = [dat.shape[0], dat.shape[1]] # new shape of matrix
out = Qobj()
out.data = dat
out.dims = dim
out.shape = shp
out.type = ischeck(out)
out.isherm = isherm
if qutip.settings.auto_tidyup:
return out.tidyup() # returns tidy Qobj
else:
return out