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Complex matrix multiplication speed up my explicitly coding the
derivatives
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parent
b1e5777586
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2 changed files with 15 additions and 1 deletions
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@ -655,6 +655,9 @@ class CObs:
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if isinstance(self.imag, Obs):
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self.imag.gamma_method(**kwargs)
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def is_zero(self):
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return self.real == 0.0 and self.imag == 0.0
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def conjugate(self):
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return CObs(self.real, -self.imag)
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@ -678,7 +681,14 @@ class CObs:
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return -1 * (self - other)
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def __mul__(self, other):
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if hasattr(other, 'real') and hasattr(other, 'imag'):
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if all(isinstance(i, Obs) for i in [self.real, self.imag, other.real, other.imag]):
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return CObs(derived_observable(lambda x, **kwargs: x[0] * x[1] - x[2] * x[3],
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[self.real, other.real, self.imag, other.imag],
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man_grad=[other.real.value, self.real.value, -other.imag.value, -self.imag.value]),
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derived_observable(lambda x, **kwargs: x[2] * x[1] + x[0] * x[3],
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[self.real, other.real, self.imag, other.imag],
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man_grad=[other.imag.value, self.imag.value, other.real.value, self.real.value]))
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elif hasattr(other, 'real') and hasattr(other, 'imag'):
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return CObs(self.real * other.real - self.imag * other.imag,
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self.imag * other.real + self.real * other.imag)
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else:
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@ -204,6 +204,10 @@ def test_cobs():
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assert (my_cobs - my_cobs.conjugate()).real.is_zero()
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assert not (my_cobs - my_cobs.conjugate()).imag.is_zero()
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np.abs(my_cobs)
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assert (my_cobs * my_cobs / my_cobs - my_cobs).is_zero()
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assert (my_cobs + my_cobs - 2 * my_cobs).is_zero()
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fs = [[lambda x: x[0] + x[1], lambda x: x[1] + x[0]],
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[lambda x: x[0] * x[1], lambda x: x[1] * x[0]]]
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for other in [1, 1.1, (1.1-0.2j), pe.CObs(obs1), pe.CObs(obs1, obs2)]:
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