SolutionQCQINielsenChuang
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Exercise 2.76
I'm not sure about the correctness of the formalism, but this is my main idea: extend the smaller bases with null coefficients in the expansion in order to reach a situation similar to that in the standard proof.
Thanks for this solution.
Unless I'm mistaken, the proof given in the book already works for the case of different dimensions, if you use the general SVD that also applies to non-square matrices: https://en.wikipedia.org/wiki/Singular_value_decomposition I don't know why Nielsen and Chuang limited to the square matrices case for SVD... Maybe it is easier to prove?