Hi PennyLane team!

I keep getting this error message when running my code in the IDE: `Error: '__import__'`

. I think my solution is correct, I ran it locally and get the same result as the example, but I’m not sure if I’m missing something. Here is my code:

```
def normalize_state(alpha, beta):
"""Compute a normalized quantum state given arbitrary amplitudes.
Args:
alpha (complex): The amplitude associated with the |0> state.
beta (complex): The amplitude associated with the |1> state.
Returns:
array[complex]: A vector (numpy array) with 2 elements that represents
a normalized quantum state.
"""
##################
# YOUR CODE HERE #
##################
# CREATE A VECTOR [a', b'] BASED ON alpha AND beta SUCH THAT |a'|^2 + |b'|^2 = 1
state_vector = np.array([alpha, beta])
normalization_factor = np.sqrt(abs(state_vector * np.conj(state_vector)).sum())
normalized_state = state_vector / normalization_factor
# RETURN A VECTOR
return normalized_state
```

Perhaps I was meant to do the normalization *before* turning alpha and beta into a state vector?

Thank you in advance for any help or guidance!

P.S. I had to include an `abs()`

call to handle the **very** small imaginary component in the that appears when doing `state_vector * np.conj(state_vector)`

in `normalization_factor`

. I think that is just part of the limitations of floating point arithmetic, i.e. a floating-point error.

P.P.S. Here is a screenshot of the IDE: