some work on the paper
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@ -371,6 +371,7 @@ This transformation toggles the neighbourhood of $a$ which is an operation
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that will be used later.
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\begin{lemma}
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\label{lemma:M_a}
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When applying $M_a$ to a state $\ket{\bar{G}}$ the new state
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$\ket{\bar{G}'}$ is again a VOP-free graph state and the
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graph is updated according to
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@ -454,6 +455,7 @@ can be constructed from $CZ$ and $C_L$ and in the following discussion it will b
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clear that both $C_L$ and $CZ$ can be applied to a general graph state.
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\subsubsection{Graph States and Vertex Operators}
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\label{ref:g_states_vops}
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\begin{definition}
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\label{def:g_state}
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@ -522,19 +524,105 @@ it is clear that just the vertex operators are changed and the new vertex operat
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\end{equation}
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The action of a $CZ$ gate on the state $(V, E, O)$ is in most cases less trivial.
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Let $i \neq j$ be two qbits, now consider the action of $CZ_{i,j}$ on $(V, E, O)$.
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The following discussion closely follows \cite{andersbriegel2005} and is analogous
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to the implementation.
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Let $i \neq j$ be two qbits, now consider the action of $CZ_{a,b}$ on $(V, E, O)$.
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The cases given here follow the implementation of a $CZ$ application in \cite{pyqcs},
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the respective paragraphs from \cite{andersbriegel2005} are given in italic.
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\textbf{Case 1:}
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Both $o_i$ and $o_j$ commute with $CZ_{i,j}$. This is the case for exactly
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\textbf{Case 1}(\textit{Case 1})\textbf{:}\\
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Both $o_a$ and $o_b$ commute with $CZ_{a,b}$. This is the case for exactly
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four vertex operators: $\mathcal{Z} = \left\{I, Z, S, S^\dagger\right\}$.
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In this case the CZ can be pulled past the vertex operators and just the edges
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are changed to $E' = E \Delta \left\{\{i,j\}\right\}$.
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are changed to $E' = E \Delta \left\{\{a,b\}\right\}$.
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\textbf{Case 2:}
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At least one vertex operator does not commute with $CZ_{i,j}$.
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\textbf{Case 2}(\textit{Sub-Sub-Case 2.2.1})\textbf{:}\\
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The two qbits are isolated: From the definition of the graph state it is clear that
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any isolated clique of the graph can be treated independently. Therefore the two isolated qbits
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can be treated as an independent state and the set of two qbit stabilizer states is finite. An
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upper bound to the number of two qbit stabilizer states is given by $2\cdot24^2$: with or without
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an edge between the qbits and $24$ Clifford operators on each vertex.
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\textbf{Sub-Case 2.1}
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Both
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All those states and the resulting state after a $CZ$ application can be computed and while doing so one
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gets another interesting result that will be useful later: If one vertex has the vertex operator $I$ the
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resulting state can be chosen such that at least one of the vertex operators is $I$ again and in particular
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the identity on the vertex can be preserved under the application of a $CZ$.
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\textbf{Case 3}(\textit{Case 2, but one sub-case has been handled})\textbf{:}\\
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At least one vertex operator does not commute with $CZ$ and at least one vertex
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has non-operand neighbours. In this case one can try to clear the vertex operators
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which will succeed for at least one qbit.
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The transformation given in
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Lemma \ref{lemma:M_a} is used to "clear" the vertex operators. Recalling that
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the transformation $M_j$ toggles the neighbourhood of vertex $j$ gives substance
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to the following theorem:
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\begin{theorem}
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A graph state $\ket{G}$ associated with $(V, E, O)$ is invariant when
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simultaneously toggling the neighbourhood of a non-isolated qbit $j$
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and right-multiplying $M_j^\dagger$ to the vertex operators in the sense
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that $\sqrt{-iX}^\dagger = \sqrt{iX}$ is right-multiplied to $o_j$ and
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$\sqrt{iZ}^\dagger = \sqrt{-iZ}$ is right-multiplied to $o_l$ for all
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neighbours $l$ of $j$.
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Without proof.
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\end{theorem}
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As stated in \ref{ref:g_states_vops} $C_L$ is also generated by $\sqrt{-iX}$ and $\sqrt{iZ}$.
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This yields an algorithm to reduce the vertex operator of a non-isolated qbit $j$ to the identity.
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The combined operation of toggling the neighbourhood of $j$ and right-multiplying
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$M_j^\dagger$ is called $L_j$ transformation and it transforms $(V, E, O)$ into a so-called
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local Clifford equivalent graphical representation.
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\begin{enumerate}
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\item{Check whether $n_a \setminus \{b\} \neq \{\}$. If this condition does not hold
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the vertex operator on $a$ cannot be cleared }
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\item{Express the vertex operator $o_a$ as a product of $\sqrt{-iX}$ and $\sqrt{iZ}$.}
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\item{Move from right to left through the product
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\begin{enumerate}
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\item{If the current matrix is $\sqrt{-iX}$ apply $L_a$}
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\item{If the current matrix is $\sqrt{iZ}$ select a vertex
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$j \in n_a \setminus \{b\}$ (which is possible as it has been checked before)
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and apply $L_j$.}
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\end{enumerate}
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}
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\end{enumerate}
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This algorithm has the important properties that if the algorithm succeeds
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$o_a = I$ and $o_b$ has picked up powers of $\sqrt{iZ}^\dagger$.
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If $b$ has non-operand neighbours after clearing the vertex operators on $a$ the vertex operators on $b$
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can be cleared using the same algorithm which gives $o_b = I$ and $o_a = (\sqrt{iZ}^\dagger)^l = S^l \in \mathcal{Z}$
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for some $l \in \{1, ..., 5\}$. Therefore Case 1 can now be applied.
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If $o_a$ could not be cleared $o_b$ can be cleared using the same procedure and after
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clearing $o_b$ one can retry to clear $o_a$.
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In any case at least one vertex operator has been cleared. If both vertex operators have been
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cleared Case 1 will be applied, if there is just one cleared vertex operator it is sure that it
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is the vertex with non-operand neighbours. Using this one can still apply a $CZ$: Without loss of generality
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assume that $a$ has non-operand neighbours and $b$ does not. Now the state $\ket{G}$ has the form\cite{andersbriegel2005}
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\begin{equation}
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\begin{aligned}
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\ket{G} &= \left(\prod\limits_{o_i \in O} o_i\right) \left(\prod\limits_{\{i,j\} \in E} CZ_{i,j}\right) \ket{+}_n \\
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&= \left(\prod\limits_{o_i \in O \setminus \{o_b\}} o_i \right) \left(\prod\limits_{\{i,j\} \in E \setminus \{a,b\}} CZ_{i,j}\right) o_b (CZ_{a,b})^s \ket{+}_n \\
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&= \left(\prod\limits_{o_i \in O \setminus \{o_b\}} o_i \right) \left(\prod\limits_{\{i,j\} \in E \setminus \{a,b\}} CZ_{i,j}\right) \ket{+}_{n-2} \otimes \left(o_b (CZ_{a,b})^s \ket{+}_2\right) \\
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\end{aligned}
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\end{equation}
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as $o_b$ commutes with all operators but $CZ_{a,b}$ and $s \in \{0, 1\}$ indicates whether there is an edge between $a$ and $b$.
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\begin{equation}
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\begin{aligned}
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CZ_{a,b}\ket{G} &= CZ_{a,b}\left(\prod\limits_{o_i \in O \setminus \{o_b\}} o_i \right) \left(\prod\limits_{\{i,j\} \in E \setminus \{a,b\}} CZ_{i,j}\right) o_b (CZ_{a,b})^s \ket{+} \\
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&= \left(\prod\limits_{o_i \in O \setminus \{o_b\}} o_i \right) \left(\prod\limits_{\{i,j\} \in E \setminus \{a,b\}} CZ_{i,j}\right) \ket{+}_{n-2} \otimes \left(CZ_{a,b} o_b (CZ_{a,b})^s \ket{+}_2\right) \\
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\end{aligned}
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\end{equation}
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Using this one can re-use the method used in Case 2 to apply the $CZ$ while keeping the $o_a = I$.
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As both $CZ$ and $C_L$ can be applied to a graph state $\ket{G}$ this proofs constructively that
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the graphical representation of a stabilizer state is indeed able to represent any stabilizer state.
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If one wants to do computations using this formalism it is however also necessary to perform measurements.
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\subsubsection{Measurements on Graph States}
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@ -129,3 +129,13 @@
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author={Peter Shor},
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note={https://journals.aps.org/pra/pdf/10.1103/PhysRevA.52.R2493}
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}
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@online{
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pyqcs,
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url={https://github.com/daknuett/pyqcs},
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urldate={13.01.2020},
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author={Daniel Knüttel},
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title={PyQCS},
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year=2020,
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note={https://github.com/daknuett/pyqcs},
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}
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