Add sliding window Tanner graph and BPGD slides
This commit is contained in:
@@ -154,6 +154,16 @@
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long=belief propagation
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}
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\DeclareAcronym{vn}{
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short=VN,
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long=variable node
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}
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\DeclareAcronym{cn}{
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short=CN,
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long=check node
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}
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\DeclareAcronym{spa}{
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short=SPA,
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long=sum-product algorithm
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@@ -1760,11 +1770,12 @@
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\schlagwort{commit region} (part of the
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window with no overlap)
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\item \schlagwort{update syndrome} of overlapping region
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\item move to next window
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\end{itemize}
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}
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\end{itemize}
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\vspace*{20mm}
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\vspace*{12mm}
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\addreferencesmanual
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{HP23}{
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@@ -1784,6 +1795,124 @@
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\subsection{Soft-Information-Aware Sliding-Window Decoding}
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\label{subsec:Soft-Information-Aware Sliding-Window Decoding}
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\begin{frame}
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\frametitle{Soft-Information-Aware Sliding-Window\\ Decoding}
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\begin{itemize}
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\item Perform \schlagwort{warm-start} by initializing with
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soft information from previous window
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\end{itemize}
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\vspace*{-5mm}
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\begin{figure}[H]
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\centering
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\tikzset{
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VN/.style={
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circle, fill=kit-green,
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inner sep=1.5mm,
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},
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CN/.style={
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rectangle, fill=kit-blue,
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inner sep=1.8mm,
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},
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}
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\begin{tikzpicture}[node distance = 7mm]
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\node[VN] (vn00) {};
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\node[VN, below = of vn00] (vn01) {};
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\node[VN, below = of vn01] (vn02) {};
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\node[VN, below = of vn02] (vn03) {};
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\node[VN, below = of vn03] (vn04) {};
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\coordinate (temp) at ($(vn01)!0.5!(vn02)$);
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\node[CN, left =15mm of temp] (cn00) {};
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\node[CN, below = of cn00] (cn01) {};
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\draw (vn00) -- (cn00);
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\draw (vn01) -- (cn00);
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\draw (vn03) -- (cn00);
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\draw (vn01) -- (cn01);
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\draw (vn02) -- (cn01);
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\draw (vn04) -- (cn01);
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\foreach \i in {1,2,3,4} {
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\pgfmathtruncatemacro{\prev}{\i-1}
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\node[VN, right = 35mm of vn\prev 0] (vn\i0) {};
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\node[VN, below = of vn\i0] (vn\i1) {};
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\node[VN, below = of vn\i1] (vn\i2) {};
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\node[VN, below = of vn\i2] (vn\i3) {};
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\node[VN, below = of vn\i3] (vn\i4) {};
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\coordinate (temp) at ($(vn\i1)!0.5!(vn\i2)$);
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\node[CN, left = 15mm of temp] (cn\i0) {};
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\node[CN, below = of cn\i0] (cn\i1) {};
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\draw (vn\i0) -- (cn\i0);
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\draw (vn\i1) -- (cn\i0);
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\draw (vn\i3) -- (cn\i0);
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\draw (vn\i1) -- (cn\i1);
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\draw (vn\i2) -- (cn\i1);
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\draw (vn\i4) -- (cn\i1);
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}
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\foreach \i in {1,2,3,4} {
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\pgfmathtruncatemacro{\prev}{\i-1}
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\draw (vn\prev 3) -- (cn\i 0);
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\draw (vn\prev 4) -- (cn\i 1);
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}
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\node[
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draw, inner sep=5mm,line width=1pt,
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fit=(vn00)(vn04)(cn00)(cn01)(vn20)(vn24)(cn20)(cn21)
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]
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(box1) {};
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\node[
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draw, dashed, inner sep=5mm, inner ysep=8mm,line width=1pt,
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fit=(vn10)(vn14)(cn10)(cn11)(vn30)(vn34)(cn30)(cn31)
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]
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(box2) {};
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% Marker for solid box (positions 0–2)
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\draw[line width=1pt] ([yshift=-5mm, line width=1pt]box1.south west)
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-- ++(0,-4mm)
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coordinate (dim1l);
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\draw[line width=1pt] ([yshift=-5mm]box1.south east)
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-- ++(0,-4mm)
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coordinate (dim1r);
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\draw[{Latex}-{Latex}, line width=1pt]
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([yshift=-2mm]dim1l) -- ([yshift=-2mm]dim1r)
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node[midway, below=2pt] {$W$};
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% Marker for step size F on top
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\draw[line width=1pt] ([yshift=3mm]box2.north west)
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-- ++(0,4mm)
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coordinate (dim3l);
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\draw[line width=1pt] ([yshift=3mm]box2.north west -|
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box1.north west)
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-- ++(0,4mm)
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coordinate (dim3r);
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\draw[{Latex}-{Latex}, line width=1pt]
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([yshift=2mm]dim3l) -- ([yshift=2mm]dim3r)
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node[midway, above=2pt] {$F$};
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\draw[-{Latex}, line width=1pt] ([yshift=8mm] box1.north
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east) -- ++(35mm,0);
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\end{tikzpicture}
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\end{figure}
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\vspace*{-5mm}
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\begin{itemize}
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\item Pass \ac{cn} to \ac{vn} messages
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\end{itemize}
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\end{frame}
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\begin{frame}
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\frametitle{BP Performance: Window Size I}
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@@ -2611,33 +2740,89 @@ opacity=0.4]
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\begin{frame}[fragile]
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\frametitle{BP with Guided Decimation}
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\begin{minipage}{0.5\textwidth}
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\vspace*{-10mm}
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\centering
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\begin{itemize}
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\item After every $T$ \ac{bp} iterations, fix most reliable
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variable node
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\item After every $T$ \ac{bp} iterations
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\citereferencemanual{YLH+24}
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\begin{itemize}
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\item perform hard decision on most reliable \ac{vn}
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\item exclude \ac{vn} from further decoding
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\end{itemize}
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\vspace*{10mm}
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\item Mitigates problems due to degeneracy \\
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$\rightarrow$ Decoder is encouraged to focus on \\
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\hspace{9mm} one solution
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\end{itemize}
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\end{minipage}%
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\begin{minipage}{0.5\textwidth}
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\visible<2->{
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\centering
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\vspace*{-10mm}
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\begin{itemize}
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\item $[[882, 24, 18 \le d \le 24]]$ - generalized
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hypergraph product (GHP) code, \\
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bit-flip noise \citereferencemanual{YLH+24}
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\end{itemize}
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% \begin{minipage}{0.65\textwidth}
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% \centering
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% \begin{algorithm}[H]
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% \caption{BP with guided decimation (BPGD)
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% \citereferencemanual{YLH+24}}
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% \begin{algorithmic}[1]
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% \STATE \textbf{for} $r=1$ \textbf{to} $n$ \textbf{do}
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% \STATE \hspace{5mm} Run $T$ BP iterations
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% \STATE $\hat{x} \leftarrow$
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% \STATE \textbf{done}
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% \end{algorithmic}
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% \end{algorithm}
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% \end{minipage}%
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% \begin{minipage}{0.35\textwidth}
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% \centering
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% \begin{itemize}
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% \item asdf
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% \end{itemize}
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% \end{minipage}
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\vspace*{-5mm}
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\vspace*{15mm}
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\begin{figure}[H]
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\centering
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\begin{tikzpicture}
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\begin{axis}[
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width=13cm,
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height=9cm,
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ymode=log,
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legend pos = south east,
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ymin=1e-6, ymax=1,
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enlargelimits=false,
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legend style={
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cells={anchor=west},
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cells={align=left},
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},
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xlabel = {Physical error rate},
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ylabel = {Frame error rate},
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xtick={0.04,0.05,...,0.1},
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xticklabel style={/pgf/number format/fixed},
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xticklabel style={/pgf/number format/precision=4},
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grid=both,
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]
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\addplot+[mark=o, line width=2pt, black]
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table[col sep=comma, x=p, y=FER]
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{res/literature/yao_bp.csv};
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\addlegendentry{BP}
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\addplot+[mark=o, line width=2pt, kit-green]
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table[col sep=comma, x=p, y=FER]
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{res/literature/yao_bpgd_1.csv};
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\addlegendentry{BPGD, $T = 1$}
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\addplot+[mark=o, line width=2pt, kit-red]
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table[col sep=comma, x=p, y=FER]
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{res/literature/yao_bpgd_10.csv};
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\addlegendentry{BPGD, $T = 10$}
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\addplot+[mark=o, line width=2pt, kit-blue]
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table[col sep=comma, x=p, y=FER]
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{res/literature/yao_bpgd_70.csv};
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\addlegendentry{BPGD, $T = 70$}
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\addplot+[mark=o, line width=2pt, kit-orange]
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table[col sep=comma, x=p, y=FER]
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{res/literature/yao_bpgd_100.csv};
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\addlegendentry{BPGD, $T = 100$}
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\end{axis}
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\end{tikzpicture}
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\end{figure}
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}
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\end{minipage}
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\vspace*{2mm}
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\addreferencesmanual
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{YLH+24}{Hanwen Yao et al. ``Belief propagation decoding of quantum
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@@ -2849,6 +3034,7 @@ forget plot]
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\item \ac{spa} + \ac{gd} decoder
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\item Parameters
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\begin{itemize}
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\item $T = 1$
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\item $n_\text{iterations} = 200$
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\item $F = 1$
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\end{itemize}
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@@ -2985,6 +3171,7 @@ forget plot]
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\item \ac{spa} + \ac{gd} decoder
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\item Parameters
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\begin{itemize}
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\item $T = 1$
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\item $n_\text{iterations} = n $
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\item $F = 1$
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\end{itemize}
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@@ -3076,6 +3263,7 @@ forget plot]
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\item \ac{spa} + \ac{gd} decoder
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\item Parameters
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\begin{itemize}
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\item $T = 1$
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\item $p = 0.0025$
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\item $F = 1$
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\end{itemize}
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@@ -3167,6 +3355,7 @@ forget plot]
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\item \ac{spa} + \ac{gd} decoder
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\item Parameters
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\begin{itemize}
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\item $T = 1$
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\item $n_\text{iterations} = 32$
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\item $W = 5$
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\end{itemize}
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@@ -3271,6 +3460,7 @@ opacity=0.4]
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\item \ac{spa} + \ac{gd} decoder
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\item Parameters
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\begin{itemize}
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\item $T = 1$
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\item $n_\text{iterations} = 200$
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\item $W = 5$
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\end{itemize}
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@@ -3375,6 +3565,7 @@ opacity=0.4]
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\item \ac{spa} + \ac{gd} decoder
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\item Parameters
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\begin{itemize}
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\item $T = 1$
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\item $n_\text{iterations} = 5000$
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\item $W = 5$
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\end{itemize}
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@@ -3466,6 +3657,7 @@ opacity=0.4]
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\item \ac{spa} + \ac{gd} decoder
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\item Parameters
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\begin{itemize}
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\item $T = 1$
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\item $p = 0.0025$
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\item $W = 5$
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\end{itemize}
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@@ -3780,7 +3972,7 @@ opacity=0.4]
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\begin{itemize}
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\item BP with guided decimation (BPGD) \\
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$\rightarrow$ Iteratively fix most reliable
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variable node (VN)
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\ac{vn}
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\vspace*{10mm}
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\item \schlagwort{Guided decimation guessing} (GDG)
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\citereferencemanual{GCR24}
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8
src/final_presentation/res/literature/yao_bp.csv
Normal file
8
src/final_presentation/res/literature/yao_bp.csv
Normal file
@@ -0,0 +1,8 @@
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p, FER
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0.040000, 0.043667
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0.049986, 0.087737
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0.059972, 0.148066
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0.069958, 0.255386
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0.079945, 0.460128
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0.089931, 0.759770
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0.100000, 0.965714
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8
src/final_presentation/res/literature/yao_bpgd_1.csv
Normal file
8
src/final_presentation/res/literature/yao_bpgd_1.csv
Normal file
@@ -0,0 +1,8 @@
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p, FER
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0.040083, 0.000029
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0.049986, 0.000393
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0.059972, 0.006271
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0.069958, 0.055503
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0.080028, 0.244488
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0.090014, 0.559895
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0.100000, 0.904565
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8
src/final_presentation/res/literature/yao_bpgd_10.csv
Normal file
8
src/final_presentation/res/literature/yao_bpgd_10.csv
Normal file
@@ -0,0 +1,8 @@
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p, FER
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0.039917, 0.000006
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0.049986, 0.000179
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0.059972, 0.003882
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0.070042, 0.038312
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0.080028, 0.229007
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0.090014, 0.610921
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0.100083, 0.885054
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8
src/final_presentation/res/literature/yao_bpgd_100.csv
Normal file
8
src/final_presentation/res/literature/yao_bpgd_100.csv
Normal file
@@ -0,0 +1,8 @@
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p, FER
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0.040083, 0.000001
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0.050153, 0.000095
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0.060139, 0.003121
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0.070125, 0.036677
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0.079945, 0.255386
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0.090014, 0.513130
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0.100000, 0.847287
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8
src/final_presentation/res/literature/yao_bpgd_70.csv
Normal file
8
src/final_presentation/res/literature/yao_bpgd_70.csv
Normal file
@@ -0,0 +1,8 @@
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p, FER
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0.040000, 0.000002
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0.049986, 0.000119
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0.060055, 0.003716
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0.069958, 0.042725
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0.080111, 0.224068
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0.090014, 0.572237
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0.100000, 0.904565
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