Quantum Computing Asked by Sorin Bolos on December 7, 2020
I have a quantum state on $ n $ qubits ($ 2^n $ amplitudes) for which I know the amplitudes are real numbers. I want to take the state out as a vector. I can estimate the magnitude of the amplitudes by doing some measurements and taking the square root of the probabilities, but I loose the sign information.
What kind of measurements do I need to make to recover the sign information? I read a little about state tomography, but it looks really unpractical for $n>2$ (my scale is $n > 10$). Is there an easier way?
An empirical solution could be to use the Grover's Diffusion Operator $D$.
Lets say the qubits are in an initial state $|psirangle = sum_{0}^{2^n-1}alpha_i|irangle$. Since global phase/sign is irrelevant. We can assume that phase/sign of $alpha_0$ is + for the sake of convenience (If $alpha_0=0$ choose the lowest index with non-zero amplitude).
We can find the constants $|alpha_i|forall i$ by taking square roots of probabilities and hence we can assume their knowledge.
Grover's Diffusion Operator maps $|psirangle = sum_{0}^{2^n-1}alpha_i|irangle$ to $D|psirangle = sum_{0}^{2^n-1}(2mu-alpha_i)|irangle$ where $mu = sum_{0}^{2^n-1}alpha_i$. We can find the probability distribution of this state and let us say we now also have knowledge of $|2mu-alpha_i| forall i$
Using values of $|alpha_i|$ and $|2mu-alpha_i|$ we get 4 possible values of $mu = frac{pm|alpha_i| pm|2mu-alpha_i|}{2}$.
Remember we have $2^n$ values of $i$ each which can give us a group of $4$ possible values of $mu$. We find the common value of $mu$ across all these $2^n$ groups of $4$.
Since we assumed $alpha_0>0$ we only get 2 possible values of $mu = frac{|alpha_i| pm|2mu-alpha_i|}{2}$ So at max there can only be $2$ values of $mu$. Hopefully we have narrowed down to a single value of $mune0$. If we have then we can use it to easily calculated $alpha_i$ from $|alpha_i|$ and $|2mu-alpha_i|$ thus giving us the sign information for all $i$.
If $mu=0$ or there are $2$ possible $mu$ then we must modify the original state. A possible solution is too selectively flip the sign (using $Controlled$ $Z$ gates) if and only if the state is $|jrangle$ for some $j$ which has an amplitude $alpha_jne0$.
This will result in a new $mu'$ which cannot be zero if $mu=0$. Applying same procedure on this state will yield 1/2 value(s) which can be used to deduce original $mu$. Since $Z$ gate only changes sign but not magnitude of amplitude the probability distributions will remain same.
I know this isn't a complete formal solution but hopefully it helps.
Answered by vasjain on December 7, 2020
Being restricted to real amplitudes means that you don't need to go for full on tomography. If you were looking at a single qubit, for example, to do full tomography with projective measurements, you'd need to make $X$, $Y$ and $Z$ measurements, while for the real-only version, you'd only need to make $X$ and $Z$ measurements.
The question, then, is what's a good tactic? It's not something I've thought/read about previously. Here's a couple of options depending on how complex you want to make your experiment:
Hadamard every qubit and repeat your amplitude determination step. The results should be sufficient to reverse engineer the signs, it's "just" a classical computation (I make no promises that it's an easy computation).
Assume the weights are $alpha_i^2$, and that these are ordered. Apply a measurement with projectors onto states $(|2nranglepm|2n+1rangle)/sqrt{2}$. Since $alpha_{2n}^2approxalpha_{2n+1}$, it shouldn't take many measurements (relatively!) to determine the relative signs of the amplitudes $alpha_{2n},alpha_{2n+1}$. Repeat using projectors onto states $(|2nranglepm|2n-1rangle)/sqrt{2}$ and that's enough to globally reconstruct the phases.
I wonder if there's a smarter method, similar to the previous one, but incorporating a "divide and conquer" strategy where you group the amplitudes into two sets with total weights as close to 1/2 as possible. But I don't immediately see it...
the answer of user1294287 looks plausible (aside from some normalisation issues), although I wonder what accuracy one has to achieve.
Answered by DaftWullie on December 7, 2020
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