toqito.perms.antisymmetric_projection ===================================== .. py:module:: toqito.perms.antisymmetric_projection .. autoapi-nested-parse:: Antisymmetric projection operator produces an orthogonal projection onto an anti-symmetric subspace. Module Contents --------------- .. py:function:: antisymmetric_projection(dim, p_param = 2, partial = False) Produce the projection onto the antisymmetric subspace [@WikiAsymmOp]. Produces the orthogonal projection onto the anti-symmetric subspace of `p_param` copies of `dim`-dimensional space. If `partial = True`, then the antisymmetric projection (PA) isn't the orthogonal projection itself, but rather a matrix whose columns form an orthonormal basis for the symmetric subspace (and hence the PA * PA' is the orthogonal projection onto the symmetric subspace.) .. rubric:: Examples The \(2\)-dimensional antisymmetric projection with \(p=1\) is given as \(2\)-by-\(2\) identity matrix \[ A_{2,1} = \begin{pmatrix} 1 & 0 \\ 0 & 1 \end{pmatrix}. \] Using `|toqito⟩`, we can see this gives the proper result. ```python exec="1" source="above" from toqito.perms import antisymmetric_projection print(antisymmetric_projection(2, 1)) ``` When the \(p\) value is greater than the dimension of the antisymmetric projection, this just gives the matrix consisting of all zero entries. For instance, when \(d = 2\) and \(p = 3\) we have that \[ A_{2, 3} = \begin{pmatrix} 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \end{pmatrix}. \] Using `|toqito⟩` we can see this gives the proper result. ```python exec="1" source="above" from toqito.perms import antisymmetric_projection print(antisymmetric_projection(2, 3)) ``` :param dim: The dimension of the local systems. :param p_param: Default value of 2. :param partial: Default value of 0. :returns: Projection onto the antisymmetric subspace.