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- from numpy import *
-
- px = matrix([[0, 1], [1, 0]], dtype=complex)
- py = matrix([[0, -1j], [1j, 0]], dtype=complex)
- pz = matrix([[1, 0], [0, -1]], dtype=complex)
- i = matrix(eye(2, dtype=complex))
- h = matrix([[1, 1], [1, -1]], dtype=complex) / sqrt(2)
- p = matrix([[1, 0], [0, 1j]], dtype=complex)
-
- s_set = [i, p, p*p, p*p*p]
- c_set = [i, h, h*p, h*p*p, h*p*p*p, h*p*p*h]
-
- def identify_pauli(m):
- for sign in [+1, -1]:
- for label, pauli in zip("XYZ", (px, py, pz)):
- if allclose(sign*pauli, m):
- return "{}{}".format("+" if sign>0 else "-", label)
-
- for p in px, py, pz:
- for sign in [+1, -1]:
- print identify_pauli(sign*p)
-
-
- print py
- print h*px*h.H
- print h*py*h.H
- print h*pz*h.H
-
- #names = []
- #matrices = []
- #for s, s_name in zip(s_set, s_names):
- #for c, c_name in zip(c_set, c_names):
- #names.append(s_name+c_name)
- #matrices.append(s*c)
-
- #print " ".join(names)
- #print len(names)
-
- #for m in matrices:
- # print (m/abs(amax(m))).round(0).reshape(4)
- #print average(abs(array((m/abs(amax(m))).round(0).reshape(4).tolist()[0])))
-
-
-
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