Reduced Graph States: Characterizing Basis States

In summary: A##, since these are the positions where there are 1s in the string. This results in a basis state that is orthogonal to all other basis states with different strings ##\mathbf{\Gamma} B'##, and they span a subspace of ##\mathbf{H}^{A}##.The motivation for choosing this basis is to have a set of states that are easy to manipulate and analyze mathematically, and that reflect the structure of the graph in a meaningful way. By defining the basis states in this way, we can easily see how the reduced state ##\rho_{G}^{A}## can be written as a sum of projections onto
  • #1
Johny Boy
10
0
TL;DR Summary
I have a paper query regarding a fundamental result on graph states, more specifically a result that characterizes a reduced graph state in a particular basis.
Reduced graph states are characterized as follows from page 46 of this paper:

Proposition:
Let ##A \subseteq V## be a subset of vertices for a graph ##G = (V,E)## and ##B = V\setminus A## the corresponding complement in ##V##. The reduced state ##\rho_{G}^{A}:= tr_{B}(|G\rangle\langle G|)## is given by $$\rho^{A}_{G} = \frac{1}{2^{|A|}}\sum_{\sigma \in \mathcal{S_{A}}}\sigma,~~~~~~~~~~~~~~~~~~(1)$$where ##\mathcal{S}_{A}:=\{ \sigma \in \mathcal{S}| \text{supp}(\sigma) \subseteq A \}## denotes the subgroup of stabilizer elements ##\sigma \in \mathcal{S}## for ##|G\rangle## with support on the set of vertices within ##A##. ##\rho_{G}^{A}## is up to some factor a projection, i.e.

$$(\rho_{G}^{A})^2 = \frac{|\mathcal{S}_{A}|}{2^{|A|}}\rho_{G}^{A}~~~~~~~~~~~~~~~~~~~(2)$$It projects onto the subspace in ##\mathbf{H}^{A}## spanned by the vectors $$|\mathbf{\Gamma}'B'\rangle_{G[A]} = \sigma_{z}^{\mathbf{\Gamma}'B'}|G[A]\rangle~~~~~~~(B' \subseteq B)~~~~~~~~~(3)$$where ##G[A] = G\setminus B## is the subgraph of ##G## induced by ##A## and ##\mathbf{\Gamma}':=\mathbf{\Gamma}^{AB}## denotes the ##|A| \times |B|-##off diagonal sub-matrix of the adjacency matrix ##\mathbf{\Gamma}## for ##G## that represents the edges between ##A## and ##B##:
$$
\begin{align}
\begin{pmatrix}
\mathbf{\Gamma}_{A} & \mathbf{\Gamma}_{AB} \\
\mathbf{\Gamma}^{T}_{AB} & \mathbf{\Gamma}_{B}
\end{pmatrix} = \mathbf{\Gamma}.
\end{align}
$$
In this basis, ##\rho_{G}^{A}## can be written as $$\rho_{G}^{A} = \frac{1}{2^{|B|}}\sum_{B' \subseteq B}| \mathbf{\Gamma}' B' \rangle_{G[A]} \langle \mathbf{\Gamma}'B'|.~~~~~~~~~~~~~(4)$$
Question:
The results of equation (1) and (2) are understood. I'm trying to understand the motivation for defining the basis states ##| \mathbf{\Gamma}' B' \rangle_{G[A]}## as shown in equation (3). As I understand, ##\mathbf{\Gamma} B' ## in the exponent of equation (3), is some string in ##\{0,1\}^{|B'|}##. In this way they would show that there are sufficient permutations of ##\mathbf{\Gamma}' B'##, where ##B' \subseteq B##, to produce orthogonal states ##| \mathbf{\Gamma}' B' \rangle_{G[A]}## which spans a subspace of ##\mathbf{H}^{A} \subseteq (\mathbb{C})^V##. Explicitly how is the term '##| \mathbf{\Gamma}' B' \rangle_{G[A]}##' defined? I don't really understand why the exponent is chosen as ##\mathbf{\Gamma} B'## into begin with to characterize the basis states?

Thanks for any assistance.
 
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  • #2

Thank you for your question. The basis states ##| \mathbf{\Gamma}' B' \rangle_{G[A]}## are defined as follows:

First, we take the subgraph ##G[A] = G\setminus B##, which is the induced subgraph of ##G## by the vertices in ##A##. This means that we only consider the edges that connect vertices within ##A##, and we disregard any edges that connect a vertex in ##A## to a vertex in ##B##.

Next, we consider the adjacency matrix ##\mathbf{\Gamma}## for the full graph ##G##. This is a square matrix with dimension equal to the number of vertices in ##G##. The submatrix ##\mathbf{\Gamma}'## is then defined as the ##|A| \times |B|## off-diagonal submatrix of ##\mathbf{\Gamma}##, which contains only the entries corresponding to the edges between vertices in ##A## and vertices in ##B##. This is why we use the notation ##\mathbf{\Gamma}'^{AB}## to denote this submatrix.

Now, for a given subset ##B' \subseteq B##, we can define the string ##\mathbf{\Gamma} B'## as the string of bits representing the presence or absence of edges between vertices in ##A## and vertices in ##B'##. For example, if we have four vertices in ##A## and three vertices in ##B##, the string ##\mathbf{\Gamma} B'## might look like ##011010##, where the first two bits correspond to edges between the first two vertices in ##A## and the first vertex in ##B##, the third and fourth bits correspond to edges between the third and fourth vertices in ##A## and the second vertex in ##B##, and so on.

Finally, the basis states ##| \mathbf{\Gamma}' B' \rangle_{G[A]}## are defined as the states obtained by applying the ##\sigma_{z}^{\mathbf{\Gamma}' B'}## operator to the state ##|G[A]\rangle##. This operator flips the sign of the state whenever there is a 1 in the corresponding position in the string ##\mathbf{\Gamma} B'##. For example, in the string ##011010##, the operator would flip the sign of the
 

Related to Reduced Graph States: Characterizing Basis States

1. What are reduced graph states?

Reduced graph states are a type of quantum state used in quantum computing that can be represented by a graph. They are characterized by a set of basis states that are entangled with each other, allowing for efficient computation and communication.

2. How are reduced graph states different from other quantum states?

Reduced graph states are unique in that they are specifically designed for quantum computing tasks, such as measurement-based quantum computation. They have a specific structure and are highly entangled, making them useful for certain types of quantum algorithms.

3. What is the significance of characterizing basis states in reduced graph states?

Characterizing basis states in reduced graph states allows us to understand the structure and properties of these states, which can help us design more efficient quantum algorithms and improve our understanding of quantum information processing.

4. How are reduced graph states relevant to real-world applications?

Reduced graph states have potential applications in quantum communication and cryptography, as well as in simulating complex quantum systems. They are also being studied for their potential use in quantum error correction and fault-tolerant quantum computing.

5. What are the challenges in working with reduced graph states?

One of the main challenges in working with reduced graph states is the difficulty in characterizing and manipulating them, as they can be highly entangled and complex. Another challenge is finding efficient ways to encode and decode information in these states for practical applications.

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