Let H be a hermitean(self-adjoint) operator on the 1-Qubit state space, show that e^(-iH) is unitary if a matrix is Unitary then U x U* = Identity If a H matrix is hermitean then H = H*
okay so im tempted to just say \[(e^{iH})^*=e^{-iH}\] dont know if that is right, but lets suppose that it is, then can i really just do \[e^{iH} ~x~e^{-iH} = e^{i(H-H)} = 1
\[e^{iH} ~*~e^{-iH} = e^{i(H-H)} = 1
where 1 is the identity mat
I think you can say \[(e^{iH})^\dagger = e^{(iH)^\dagger} = e^{-i H}\] but I don't know if they expect you to go more in depth in this
kay cool lemme finish eating before the next qn bby
actually even this might not be explicit enough, but it's better than what I wrote earlier. \[(e^{iH})^\dagger =\left( \sum_{n=0}^\infty \frac{(iH)^n}{n!}\right)^\dagger= \sum_{n=0}^\infty \frac{(-iH)^n}{n!}=e^{-iH}\]
ya
the explicit way i can think of needs an assuming that there is a P^T D P = H decomposition available
assumption*
Nah, we're almost there let me just write it out and explain each step better
ok cool
also 1 more thing i guess it didnt matter for this question, but since H is a herm opp for a 1 qubbit space, does that mean H is a 2by 2 matrix
gotta show this to be true (A^n + B^n)*= A^n+B^n if A and B are hermetian
for this i can show it if A and B, are able to be written in P^T D P form but hmm
(symmetric)^n = still symmetric?
Rewrite the e^x in taylor series: \[(e^{iH})^\dagger =\left( \sum_{n=0}^\infty \frac{(iH)^n}{n!}\right)^\dagger\] Transposing and complex conjugate both distribute over addition, so we can apply it to each term in the sum: \[\left( \sum_{n=0}^\infty \frac{(iH)^n}{n!}\right)^\dagger=\sum_{n=0}^\infty \left( \frac{(iH)^n}{n!}\right)^\dagger\] Do some algebra, I just rewrote H=IH and then multiplied the constants times the identity matrix on the left to separate them out. \[\sum_{n=0}^\infty \left( \frac{(iH)^n}{n!}\right)^\dagger = \sum_{n=0}^\infty \left[ \left( \frac{i^n}{n!}I \right) \left( H^n\right) \right]^\dagger\] Now when we transpose we have to write all the matrices in reverse order but since we have powers of the same matrix, each of them transposes simply: \[\sum_{n=0}^\infty \left[ \left( \frac{i^n}{n!}I \right) \left( H^n\right) \right]^\dagger = \sum_{n=0}^\infty\left( H^n\right)^\dagger \left( \frac{i^n}{n!}I \right) ^\dagger \] Now conjugate transpose them, but each of the \(H^\dagger = H\) and the only interesting thing about the conjugate transpose of a scalar multiplied by the identity is just \(i^*=-i\). \[\sum_{n=0}^\infty\left( H^n\right)^\dagger \left( \frac{i^n}{n!}I \right) ^\dagger = \sum_{n=0}^\infty H^n \frac{(-i)^n}{n!}I \] Scalars commute trivially with all matrices, and the identity matrix absorbs in so we just end up with: \[ \sum_{n=0}^\infty \frac{(-iH)^n}{n!}=e^{-iH}\] Done, no need to diagonalize anything, it's simple as that.
oh babyy i just realizedd that
(AB)^T = B^T * A^T
xD
Don't worry about whether or not \((H^n)^\dagger = H^n\) Instead let's look at this: \[(ABC)^\dagger= C^\dagger B^\dagger A^\dagger\] now if we independently know \[C^\dagger = C\] and \[B^\dagger = B\] and \[A^\dagger = A\] then we can replace them all: \[(ABC)^\dagger = C^\dagger B^\dagger A^\dagger = CBA\] now if C=B=A=H now you have it \[(H^3)^\dagger = H^3\]
yepp
ok cool lol I actually didn't know this until I typed all this out myself so it was a good exercise for me thanks lol
lol now i kinda realize why the T became dagger haha
they just added like 1 little line to T
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