5
$\begingroup$

Assuming that we have a matrix $A\in \mathbb{R}^{m\times n}$ stored in a quantum superposition, i.e. $$|A\rangle= \frac{1}{\|A\|_F}\sum_{i,j=0}^{n-1}{a_{ij}}|i,j\rangle$$ and a vector $b\in \mathbb{R}^{n\times 1}$ stored in $$|b\rangle= \frac{1}{\|b\|}\sum_{i=0}^{n-1}{b_{i}}|i\rangle.$$

How can I find a unitary, such that

$$U|b\rangle\approx|Ab\rangle?$$

$\endgroup$
6
  • 1
    $\begingroup$ Hi @Thommy257. I removed the LaTeX in the title as it was not adding more than what plain text could convey. $\endgroup$ Commented Mar 8, 2021 at 10:44
  • 2
    $\begingroup$ @AdrienSuau is there a reason for that? Latex in titles is perfectly fine, and I'd argue it looks much better than the corresponding text-based alternatives $\endgroup$
    – glS
    Commented Mar 8, 2021 at 14:02
  • 1
    $\begingroup$ I think I remember a time where uneeded LaTeX in title was removed, mostly to ease text-based research, but I might be wrong. In any case, I agree that the LaTeX was looking way better, re-viewing my edit it seems I got a little too quick. I'll revert, sorry for the inconvenience. $\endgroup$ Commented Mar 8, 2021 at 17:45
  • 1
    $\begingroup$ @AdrienSuau no worries. In fairness this was raised on meta in the early days of the site, see quantumcomputing.meta.stackexchange.com/q/180/55, but honestly on math-based sites latex in titles is completely standard at this point $\endgroup$
    – glS
    Commented Mar 9, 2021 at 9:53
  • $\begingroup$ This exactly what I was thinking about, I did not search it but I remember reading this discussion a while back. $\endgroup$ Commented Mar 9, 2021 at 16:45

1 Answer 1

4
+50
$\begingroup$

I do not know what the state-of-the-art for this problem is, but here is my attempt at it.

First, I doubt whether the required unitary $U$ can be found for every matrix $A$. The most glaring issue occurs when $b\in\ker A$. In this case, $|Ab\rangle$ is ill-defined, so it is not clear what $U|b\rangle$ should be approximately equal to. A slightly more subtle issue concerns the preservation of the inner product. Consider for example $A=\begin{pmatrix}1 & 0 \\ 0 & 2\end{pmatrix}$ and $b_1=(1, 0)^T$ and $b_2=(1, 1)^T$. Then $|b_1\rangle = |0\rangle$, $|b_2\rangle = |+\rangle$ and $|Ab_1\rangle = |0\rangle$, $|Ab_2\rangle = (|0\rangle + 2|1\rangle)/\sqrt{5}$. However, for any unitary $U$ we have

$$ \langle b_1|U^\dagger U|b_2\rangle = \langle b_1|b_2\rangle = \frac{1}{\sqrt{2}} $$

which is hard to regard as approximately equal to

$$ \langle Ab_1|Ab_2\rangle = \frac{1}{\sqrt{5}}. $$

Such issues may be resolved by using the context in which the problem arises to place additional restrictions on $A$ and $b$. Alternatively, we can widen the search for the required transformation beyond the unitary operations. The latter is what we do below.

Matrix multiplication by teleportation with post-selection

We prepare the state $|Ab\rangle$ by teleporting the state $|b\rangle$ through the state $|A\rangle$ and post-selecting on a measurement outcome.

Suppose we have three subsystems $K$, $L$ and $M$ each with Hilbert space of dimension $n$. First, prepare the subsystem $K$ in the state $|b\rangle=\frac{1}{\|b\|}\sum_{k=0}^{n-1}|k\rangle_K$ and the subsystems $L$ and $M$ in the joint state $|A\rangle=\frac{1}{\|A\|_F}\sum_{m,l=0}^{n-1}a_{ml}|l\rangle_L|m\rangle_M$. Now, measure subsystems $K$ and $L$ in the Fourier basis

$$ |\Psi_{u,v}\rangle_{KL} = \frac{1}{\sqrt{n}} (X^u Z^v \otimes I) \sum_{j=0}^{n-1} |j\rangle_K|j\rangle_L\tag1 $$

where $X$ and $Z$ are the generalization of the Pauli operators to $n$-dimensional Hilbert space known as the shift and clock matrices and given by $X|j\rangle = |j + 1 \mod n\rangle$ and $Z|j\rangle = e^{\frac{2\pi ij}{n}}|j\rangle$. See this answer for a good description of qudit teleportation.

Each possible measurement outcome is described by a pair of numbers $u, v \in \{0, 1, \dots, n-1\}$. Suppose that the measurement outcome is $u=0, v=0$. Then the subsystem $M$ is in the state

$$ \begin{align} _{KL}\langle\Psi_{0,0}|b\rangle_K|A\rangle_{LM} &=\left(\frac{1}{\sqrt{n}}\sum_{k=0}^{n-1}{}_K\langle k| {}_L\langle k|\right) |b\rangle_K|A\rangle_{LM}\\ &=\frac{1}{\sqrt{n}}\sum_{k=0}^{n-1}{}_K\langle k|b\rangle_K\, {}_L\langle k|A\rangle_{LM} \\ &=\frac{1}{\sqrt{n}}\sum_{k=0}^{n-1}\frac{b_k}{\|b\|} \sum_{l=0}^{n-1} \frac{a_{lk}}{\|A\|_F}|l\rangle_M \\ &=\frac{1}{\sqrt{n}\|b\|\|A\|_F}\sum_{l=0}^{n-1} \sum_{k=0}^{n-1}a_{lk}b_k|l\rangle_M \\ &=\frac{1}{\sqrt{n}\|b\|\|A\|_F}\sum_{l=0}^{n-1} (Ab)_l|l\rangle_M \\ &=\frac{\|Ab\|}{\sqrt{n}\|b\|\|A\|_F}|Ab\rangle_M \end{align}\tag2 $$

which after normalization becomes $|Ab\rangle$ as promised. For other measurement outcomes the subsystem $M$ is not in the state $|Ab\rangle$ due to the operators $X$ and $Z$ in $(1)$. In some applications it may be possible to boost success probability by applying a correction based on the measurement outcome $u, v$ to obtain $|Ab\rangle$. However, this part of the protocol depends on properties of $A$ and $b$.


It is interesting to consider what happens in certain special cases. For example, consider the situation where $b \in \ker A$. In this case, the state $|Ab\rangle$ is ill-defined and from $(2)$ we see that the probability of obtaining the required $u=0,v=0$ measurement outcome is zero.

Another interesting case occurs when $A=aa^T$ is a rank one matrix and $a^Tb\ne 0$. Then $|A\rangle_{LM}=|a\rangle_L|a\rangle_M$ is a product state and nothing can be teleported through it. However in this case

$$ |aa^Tb\rangle = \frac{1}{\|aa^Tb\|}\sum_{k=0}^{n-1} a_k a^Tb |k\rangle = \frac{a^Tb}{|a^Tb|}|a\rangle \equiv |a\rangle $$

and the initial state is the appropriate output state up to the unobservable global phase.

$\endgroup$
1

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy.

Not the answer you're looking for? Browse other questions tagged or ask your own question.