Fix or clarification needed on Codercise I.1.2?

[gabrielsanchez]

Node number

Codercise I.1.2

Expected behavior

The example says:

Suppose we are given two states

  state_1 = np.array([0.8, 0.6])
  state_2 = np.array([1 / np.sqrt(2), 1j / np.sqrt(2)]) 

Your function should compute and return the value of the inner product:

 0.56568542-0.42426407j

I coded my solution and got the same result as the example 0.565685424949238-0.42426406871192845j by using:

    inner_product = np.dot(state_1, np.conjugate(state_2).T)

but when I tried to submit this, I got the following message:

Incorrect: Make sure you conjugate state_1 and not state_2.

I changed the conjugate to be on state_1 and the exercise was submitted correctly:

inner_product = np.dot(np.conjugate(state_1).T, state_2)

However, if tried inner_product = np.dot(np.conjugate(state_1).T, state_2) with the example it gives me the following result:

(0.565685424949238+0.42426406871192845j)

I think the example needs to be like below for it to be consistent with the code solution:

Suppose we are given two states

  state_1 = np.array([1 / np.sqrt(2), 1j / np.sqrt(2)]) 
  state_2 = np.array([0.8, 0.6])

Your function should compute and return the value of the inner product:

 0.56568542-0.42426407j

OR

Suppose we are given two states

 state_1 = np.array([0.8, 0.6])
 state_2 = np.array([1 / np.sqrt(2), 1j / np.sqrt(2)]) 

Your function should compute and return the value of the inner product:

 0.56568542+0.42426407j

Actual behavior

Small inconsistency between the example and the codercise solution can be clarified/fixed by changing the example or adding some extra clarification in the instructions.

Additional information

No response

Source code

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Tracebacks

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• [X] I have searched existing GitHub issues to make sure the issue does not already exist.

[CatalinaAlbornoz]

Hi @gabrielsanchez, thank you for reporting this! We will review this to make sure the example doesn't make the codercise more confusing.