Add abstract

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@@ -72,10 +72,10 @@ performance difference was most pronounced at low numbers of maximum iterations.
% Implications from experimental results
These observations imply that the warm-start modification to
sliding-window decoding provides a universal improvement, as long as
sliding-window decoding provides a consistent improvement, as long as
some care is taken with specifying the information to be passed to
the subsequent window.
Not that this comes at no additional cost to the decoding complexity,
Note that this comes at no additional cost to the decoding complexity,
since the only difference between warm- and cold-start sliding-window
decoding is the initialization of the \ac{bp} messages.
We expect similar behavior with other inner decoders that support

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\chapter*{Abstract}
% Current state of the art
\Ac{qec} protects fragile quantum states against decoherence by
encoding logical information into a larger number of physical qubits.
Because the syndrome extraction circuitry is itself implemented on
noisy quantum hardware, practical \ac{qec} must be fault-tolerant,
accounting for errors introduced by the correction procedure itself.
Fault tolerance considerations and the syndrome extraction circuit
are captured by \acp{dem}, which provide a unified framework for passing
this information to the decoder.
Accounting for fault tolerance substantially inflates the
decoding problem.
At the same time, \ac{qec} imposes strict latency constraints due to
the backlog problem, where syndrome data accumulates faster than it
can be decoded.
Together, these factors pose a serious challenge for practical decoders.
Sliding-window decoding addresses this challenge by exploiting the
repeated structure of the syndrome extraction circuitry, partitioning
the \ac{dem}'s check matrix into overlapping windows that can be
decoded sequentially.
This allows for an earlier start to the decoding process, before all
syndrome measurements have been completed, thereby lowering the latency.
% Our work: Identify research gap
In this thesis, we perform a review of the existing literature on
sliding-window decoding and draw an analogy to windowed
decoding for classical spatially-coupled low-density parity-check
(\acs{sc}-\acs{ldpc}) codes.
We recognize that in contrast to the latter, existing realizations
of sliding-window decoding for \ac{qec} discard the soft information
produced inside one window before moving to the next.
% Our work: Warm-start
% TODO: Quantify improvement. Also for conclusion
We propose warm-start sliding-window decoding, in which the
\ac{bp} messages on the edges crossing into the overlap region of the previous
window are reused to initialize the corresponding messages of the
next window.
The warm start is formulated first for plain \ac{bp} and then extended to
\ac{bp} with guided decimation (\acs{bpgd}).
For both plain min-sum \ac{bp} and \ac{bpgd} decoding, the warm-start
initialization provides a consistent improvement across all examined
parameter settings.
We attribute this to an effective increase in \ac{bp} iterations on
variable nodes in the overlap regions: each such VN is processed by
multiple consecutive windows, and warm-starting lets these
invocations accumulate iterations rather than restart from scratch.
Crucially, the warm-start modification incurs no additional
computational cost relative to cold-start decoding, as it differs
only in the initialization of the \ac{bp} messages.

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@@ -103,7 +103,7 @@
\maketitle
\newpage
% \include{chapters/abstract}
\include{chapters/abstract}
\cleardoublepage
\pagenumbering{arabic}