Incorporate Jonathans's corrections to Conclusion
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@@ -3,23 +3,23 @@
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% Recap of motivation
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This thesis investigated decoding under \acp{dem} for fault-tolerant
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This thesis investigates decoding under \acp{dem} for fault-tolerant
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\ac{qec}, with a focus on low-latency decoding methods for \ac{qldpc} codes.
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The repetition of the syndrome measurements, especially under
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consideration of circuit-level noise, leads to a significant increase
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in decoding complexity: in our experiments on the $\llbracket
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144,12,12 \rrbracket$ \ac{bb} code with $12$ syndrome extraction
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rounds, the check matrix grew from 144 \acp{vn} and 72
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rounds, the check matrix grows from 144 \acp{vn} and 72
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\acp{cn} to 9504 \acp{vn} and 1008 \acp{cn}.
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% Recap of research gap and own work
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Sliding-window decoding addresses the latency constraint by
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exploiting the time-like locality of the syndrome extraction circuit,
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which manifests as a block-diagonal structure in the detector error
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exploiting the time-like locality of the syndrome extraction circuit.
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This manifests as a block-diagonal structure in the detector error
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matrix when detectors are defined as the difference of consecutive
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syndrome measurement rounds.
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We drew a comparison to windowed decoding for \ac{sc}-\ac{ldpc}
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We draw a comparison to windowed decoding for \ac{sc}-\ac{ldpc}
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codes, but noted that the existing realizations of sliding-window
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decoding discard the soft information produced inside one window
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before moving to the next.
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@@ -29,25 +29,26 @@ the overlap region of the previous window are reused to initialise
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the corresponding messages of the next window in place of the
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standard cold-start initialisation.
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We formulated the warm start first for plain \ac{bp} and then for
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\ac{bpgd}, the latter being attractive as an inner decoder because it
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We formulate the warm start for standard \ac{bp} and for
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\ac{bpgd}.
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In particular the latter being attractive as an inner decoder because it
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addresses the convergence problems caused by short cycles and
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degeneracy in \ac{qldpc} Tanner graphs.
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The decoders were evaluated by Monte Carlo simulation on the
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The decoders are evaluated by conducting Monte Carlo simulations on the
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$\llbracket 144,12,12 \rrbracket$ \ac{bb} code over $12$ syndrome
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extraction rounds under standard circuit-based depolarizing noise.
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We focused on a qualitative analysis, refraining from further
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We focus on a qualitative analysis, refraining from further
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optimizations such as introducing a normalization parameter for the
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min-sum algorithm.
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% Recap of experimental conclusions
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For plain min-sum \ac{bp}, the warm start was consistently beneficial
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across the parameter ranges we examined. The size of the gain depended
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on the overlap between consecutive windows: enlarging $W$ or
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shrinking $F$, both of which enlarge the overlap, raised the
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warm-start performance increase.
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We argued that the underlying mechanism is an effective increase in
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For standard min-sum \ac{bp}, the warm start is consistently
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beneficial to the cold start, across the considered parameter ranges.
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The size of the gain depends on the overlap between consecutive
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windows: enlarging $W$ or shrinking $F$, both of which enlarge the
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overlap, result in larger gains of the warm-start.
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We observe that the underlying mechanism is an effective increase in
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the number of \ac{bp} iterations spent on the \acp{vn} in the overlap
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region: each such \ac{vn} is processed by multiple consecutive window
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invocations, and the warm start lets these invocations accumulate
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@@ -55,7 +56,7 @@ iterations on the same \acp{vn} rather than restarting from scratch.
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The gain was most pronounced at low numbers of maximum iterations, where
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every additional iteration carries proportionally more information.
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For \ac{bpgd}, we noted that more information is available in the
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For \ac{bpgd}, we note that more information is available in the
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overlap region of a window: in addition to the \ac{bp} messages,
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there is information about which \acp{vn} were decimated and to what value.
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Passing this decimation information to the next window in addition to
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@@ -65,14 +66,14 @@ overlap region.
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Restricting the warm start to the \ac{bp} messages alone, removed this effect.
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The resulting message-only warm start recovered a consistent
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improvement over cold-start that followed the same qualitative
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behaviour as for plain \ac{bp}: larger overlap, achieved by larger
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behaviour as for standard \ac{bp}: larger overlap, achieved by larger
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$W$ or smaller $F$, yielded a larger gain, and the
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performance difference was most pronounced at low numbers of maximum iterations.
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% Implications from experimental results
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These observations imply that the warm-start modification to
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sliding-window decoding provides a consistent improvement, as long as
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sliding-window decoding can provide a consistent improvement, as long as
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some care is taken with specifying the information to be passed to
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the subsequent window.
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Note that this comes at no additional cost to the decoding complexity,
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@@ -94,25 +95,10 @@ underlying mechanism is structural rather than code-specific, but
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quantifying the gain across code families and noise models is left to
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future work.
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A second direction is a systematic study of inner decoders under the
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warm-start framework.
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We considered plain min-sum \ac{bp} and \ac{bpgd}, but other
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algorithms used for \ac{qldpc} decoding, such as automorphism
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ensemble decoding \cite{koutsioumpas_automorphism_2025} or neural
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\ac{bp} \cite{miao_quaternary_2025} may admit warm-start variants of their own.
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A third direction is a softer treatment of the decimation state in \ac{bpgd}.
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Rather than discarding the decimation information of the previous
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window entirely, as in the message-only warm start used here, one
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could encode the decimation decisions as strong but finite biases on
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the channel \acp{llr} of the next window, allowing the new window's parity
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checks to override them if the syndrome calls for it.
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This would interpolate between the two warm-start variants studied here and
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might combine the benefits of both.
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A related question is whether the decimation schedule itself should
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be aware of the window structure, for instance by deferring
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decimation of \acp{vn} in the overlap region until they have been
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visited by the next window.
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A second direction is a systematic study of other inner decoders under the
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warm-start framework, such as automorphism ensemble decoding
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\cite{koutsioumpas_automorphism_2025} or neural \ac{bp}
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\cite{miao_quaternary_2025}.
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A final direction is suggested by the structural similarity between
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sliding-window decoding for \acp{dem} and windowed decoding for
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