Quantum Computing Asked by Zhaoyi Zhou on March 20, 2021
In the proof of Uhlmann’s theorem, the book writes the polar decomposition: $A = |A|V$, with $|A| = sqrt{A^dagger A}$.
Shouldn’t it be $V|A|$ instead?
The former case is $A^dagger A = V^dagger|A||A|V$ while the latter case is $A^dagger A = |A|V^dagger V|A| = |A||A| = A^dagger A$.
Ok I confused myself in the first version of this answer.
With the definition $|A|:=sqrt{A^dagger A}$, it should be $A=U|A|$. If you define instead $|A|:=sqrt{A A^dagger}$, then it is $A=|A|U$. Both definitions are common.
There is a left and a right polar decomposition $A=PU=UP'$ which are related to the SVD $A=VSigma W^dagger$ by $$ P=VSigma V^dagger, quad U = VW^dagger, quad P' = WSigma W^dagger. $$ Note that $Sigma$ is the diagonal matrix with the singular values of $A$, i.e. the eigenvalues of $|A|=sqrt{A^dagger A}$ (or $sqrt{A A^dagger}$, they are the same), on its diagonal. Clearly, we have $$ A^dagger A = P'U^dagger U P' = WSigma^2 W, quad AA^dagger = VSigma^2 V^dagger $$ hence $P'=sqrt{A^dagger A}=|A|$ and $P=sqrt{AA^dagger}$.
Correct answer by Markus Heinrich on March 20, 2021
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