本文整理汇总了Python中sympy.matrices.Matrix.conjugate方法的典型用法代码示例。如果您正苦于以下问题：Python Matrix.conjugate方法的具体用法？Python Matrix.conjugate怎么用？Python Matrix.conjugate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sympy.matrices.Matrix的用法示例。
在下文中一共展示了Matrix.conjugate方法的2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: fidelity
# 需要导入模块: from sympy.matrices import Matrix [as 别名]
# 或者: from sympy.matrices.Matrix import conjugate [as 别名]
def fidelity(statevec, dm, u_dm, ustatevec=np.array([0,0])):
'''
returns the fidelity (and its uncertainty) of the measured density
matrix with a given state vector.
'''
f = error.Formula()
beta,a,x,b,alpha = sympy.symbols('beta,a,x,b,alpha')
v = Matrix([alpha, beta])
rho = Matrix([[x,a+1j*b],[a-1j*b, 1-x]])
f.formula = (v.conjugate().transpose() * rho * v)[0]
f.values[alpha] = statevec[0]
f.values[beta] = statevec[1]
f.values[a]=float(np.real(dm[0,1]))
f.values[x]=float(dm[0,0])
f.values[b]=float(np.imag(dm[0,1]))
f.uncertainties[alpha]=ustatevec[0]
f.uncertainties[beta]=ustatevec[1]
f.uncertainties[x]=u_dm[0,0]
f.uncertainties[a]=float(np.real(u_dm[0,1]))
f.uncertainties[b]=float(np.imag(u_dm[0,1]))
_fid,_ufid = f.num_eval()
fid = float(_fid.as_real_imag()[0])
ufid = float(_ufid.as_real_imag()[0])
return (fid,ufid)示例2: as_density_matrix
# 需要导入模块: from sympy.matrices import Matrix [as 别名]
# 或者: from sympy.matrices.Matrix import conjugate [as 别名]
def as_density_matrix(self):
"""
NOT USED ANYMORE (but works fine)
Represent this pure state as density matrix.
"""
coeffs = self.get_coefficients_as_general_state()
matrix = Matrix(coeffs)
matrix = matrix * matrix.conjugate().transpose()
coeff_comm = self.coeff_comm
matrix = matrix * coeff_comm * coeff_comm
return matrix