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# tags for phase cycles | |
phase_cycles = [0, 1, 0.6, 1.6, 1.3, 2.3] | |
# subspaces | |
sub1, sub2 = np.zeros((3,3), dtype=complex), np.zeros((3,3), dtype=complex) | |
sub1 = np.array([[np.exp(1j*np.pi*(x)), np.exp(1j*np.pi*(-x)), 1] for x in phase_cycles[0::2]]) | |
sub2 = np.array([[np.exp(1j*np.pi*(x)), np.exp(1j*np.pi*(-x)), 1] for x in phase_cycles[1::2]]) | |
# Full matrix | |
C = np.kron(np.array([[1, 0], [0, 0]]), sub1) + np.kron(np.array([[0, 0], [0, 1]]), sub2) | |
# permutation matrix, because data taking is actually interleaved | |
perm = np.array([[1, 0, 0, 0, 0, 0], | |
[0, 0, 0, 1, 0, 0], | |
[0, 1, 0, 0, 0, 0], | |
[0, 0, 0, 0, 1, 0], | |
[0, 0, 1, 0, 0, 0], | |
[0, 0, 0, 0, 0, 1]]) | |
Cperm = np.dot(perm, C) | |
# final phase cycling matrix | |
Cperm_inv = np.linalg.inv(Cperm) |
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