Polish second paragraphs of noise model subsecions
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@@ -178,9 +178,10 @@ We visualize the different types of noise models in
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The simplest type of noise model is \emph{bit-flip} noise.
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This corresponds to the classical \ac{bsc}, i.e., only $X$ errors on the
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data qubits are possible \cite[Appendix~A]{gidney_new_2023}.
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This type of noise model is shown in \autoref{subfig:bit_flip}.
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Note that we cannot use bit-flip noise to develop fault-tolerant
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systems, as it doesnt't account for errors during the syndrome extraction.
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This type of noise model is shown in \autoref{subfig:bit_flip}.
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%%%%%%%%%%%%%%%%
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\subsection{Depolarizing Channel}
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@@ -193,12 +194,12 @@ errors, we obtain the \emph{depolarizing channel}
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It is well-suited for modeling memory experiments, where data qubits
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are stored idly for some period of time and errors accumulate due to
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decoherence.
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Bit-flip noise and the depolarizing channel are sometimes referred to
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as \emph{code capacity noise models}.
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While the depolarizing channel is still not suited for the design and
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simulation of fault-tolerant systems, it is already complex enough to
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be used to gauge the suitability of a code for the \ac{qec} problem.
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Bit-flip noise and the depolarizing channel are sometimes referred to
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as \emph{code capacity noise models}.
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%%%%%%%%%%%%%%%%
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\subsection{Phenomenological Noise}
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@@ -210,17 +211,18 @@ Here, we consider multiple rounds of syndrome measurements with a
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depolarizing channel before each round.
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Additionally, we allow for measurement errors by having $X$ error
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locations right before each measurement \cite[Appendix~A]{gidney_new_2023}.
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Note that it is enough to only consider $X$ errors at this point,
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Note that it is enough to only consider $X$ errors at these points,
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since that is the only type of error directly affecting the
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measurement outcomes.
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This model is depicted in \autoref{subfig:phenomenological}.
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While not fully capturing all possible error mechanisms,
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phenomenological noise is already \ldots .
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Additionally, there are applications were the consideration of
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phenomenological noise is enough.
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It can, for example, be used for \ldots \red{the design of
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fault-tolerant circuitry} \cite[Sec.~4.2]{derks_designing_2025}.
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phenomenological noise is already a significant step beyond the code
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capacity noise models.
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Additionally, there are applications where the
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consideration of phenomenological noise is enough.
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It can, for example, be used for guiding the design of fault-tolerant
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circuitry [DTTBE25, Sec. 4.2].
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%%%%%%%%%%%%%%%%
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\subsection{Circuit-Level Noise}
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@@ -238,6 +240,9 @@ This type of noise model is shown in \autoref{subfig:circuit_level}.
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While phenomenological noise is useful for some design aspects of
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fault tolerant circuitry, for simulations, circuit-level noise should
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always be used \cite[Sec.~4.2]{derks_designing_2025}.
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Note that this introduces new challenges during the decoding process,
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as the decoding complexity is increased considerably due to the many
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error locations.
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\begin{figure}[t]
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\centering
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