lattice/pyerrors
1
0
Fork 0
mirror of https://github.com/fjosw/pyerrors.git synced 2025-03-15 14:50:25 +01:00
Code Issues Projects Releases Packages Wiki Activity

recombination of complex matrices from real representation optimized

Browse source
This commit is contained in:
Fabian Joswig 2021-10-22 16:45:40 +01:00
parent 89ea9133cc
commit 1223676b08
1 changed files with 9 additions and 3 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

12
pyerrors/linalg.py
View file

@ -130,7 +130,10 @@ def matmul(x1, x2):
Rr, Ri = np.vectorize(lambda x: (np.real(x), np.imag(x)))(x2)
Nr = derived_array(lambda x: x[0] @ x[2] - x[1] @ x[3], [Lr, Li, Rr, Ri])
Ni = derived_array(lambda x: x[0] @ x[3] + x[1] @ x[2], [Lr, Li, Rr, Ri])
return (1 + 0j) * Nr + 1j * Ni
res = np.empty_like(Nr)
for (n, m), entry in np.ndenumerate(Nr):
res[n, m] = CObs(Nr[n, m], Ni[n, m])
return res
else:
return derived_array(lambda x: x[0] @ x[1], [x1, x2])
@ -185,11 +188,14 @@ def mat_mat_op(op, obs, **kwargs):
if kwargs.get('num_grad') is True:
op_big_matrix = _num_diff_mat_mat_op(op, big_matrix, **kwargs)
else:
op_big_matrix = derived_observable(lambda x, **kwargs: op(x), big_matrix)
op_big_matrix = derived_array(lambda x, **kwargs: op(x), [big_matrix])[0]
dim = op_big_matrix.shape[0]
op_A = op_big_matrix[0: dim // 2, 0: dim // 2]
op_B = op_big_matrix[dim // 2:, 0: dim // 2]
return (1 + 0j) * op_A + 1j * op_B
res = np.empty_like(op_A)
for (n, m), entry in np.ndenumerate(op_A):
res[n, m] = CObs(op_A[n, m], op_B[n, m])
return res
else:
if kwargs.get('num_grad') is True:
return _num_diff_mat_mat_op(op, obs, **kwargs)