[thesis] modify comments, phrasing, red outline
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@@ -914,7 +914,7 @@ Instead of employing only the individual qubit states, the
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information is stored in the correlations between the qubits
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\cite[Sec.~2]{preskill_quantum_2018}.
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% The size of the vector spaced
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% The size of the vector space
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As we can see in \autoref{eq:product_state}, the number of
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computational basis states needed to express the full composite state
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@@ -927,7 +927,7 @@ It is also what motivated the research into performing computations
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using quantum hardware in the first place
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\cite[Sec.~3]{feynman_simulating_1982}.
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% Basic types of gates: The X,Y,Z operators, Bloch sphere
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% Basic types of gates
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After examining the modelling of single- and multi-qubit systems,
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we now shift our focus to describing the evolution of their states.
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@@ -936,8 +936,8 @@ Unlike classical systems, where there are only two possible states and
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thus the only possible state change is a bit-flip, a gerenal qubit
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state as shown in \autoref{eq:gen_qubit_state} lives on a continuum of values.
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We thus technically also have an infinite number of possible state changes.
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Luckily, we can express any single-qubit coherent operator as a
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linear combination of the \emph{Pauli operators}
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Luckily, we can express any operator as a linear combination of the
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\emph{Pauli operators}
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\cite[Sec.~2.2]{roffe_quantum_2019}
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\begin{align*}
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\begin{array}{c}
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@@ -1010,18 +1010,38 @@ Other important operators include the \emph{Hadamard} and
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\noindent Many more operators relevant to quantum computing exist, but they are
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not covered here as they are not central to this work.
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%%%%%%%%%%%%%%%%
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\subsection{Quantum Circuits}
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\label{Quantum Circuits}
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\red{[TODO] \cite[Sec.~1.3.4]{nielsen_quantum_2010}}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\section{Quantum Error Correction}
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\label{sec:Quantum Error Correction}
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% Why we need quantum error correction
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% The unique challenges of QEC compared to classical FEC
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% The unique challenges of QEC compared to classical FEC
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\red{
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\textbf{Content:}
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\textbf{General Notes:}
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\begin{itemize}
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\item Note that there are other codes than stabilizer codes
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(and research and give some examples), but only
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stabilizer codes are considered in this work
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\item Degeneracy
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\item The QEC decoding problem (considering degeneracy)
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\cite[Sec.~2.3]{yao_belief_2024}
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\item Why we need commutativity of the stabilizers [Journal,
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p.~51], [Got97, p.~6]
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\end{itemize}
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\textbf{Content:}
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\begin{itemize}
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\item General context
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\begin{itemize}
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\item Why we want QC
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\item Why we need QEC (correcting errors due to noisy gates)
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\item Main challenges of QEC compared to classical
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error correction
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@@ -1047,33 +1067,6 @@ not covered here as they are not central to this work.
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\item CSS codes
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\item Color codes?
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\item Surface codes?
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\item Fault tolerant error correction (gates with which we do
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error correction are also noisy)
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\begin{itemize}
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\item Transversal operations
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\item \dots
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\end{itemize}
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\item Circuit level noise
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\item Detector error model
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\begin{itemize}
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\item Columns of the check matrix represent different
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possible error patterns $\rightarrow$ Check matrix
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doesn't quite correspond to the codewords we used
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initially anymore, but some similar structure ist
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still there (compare with syndrome)
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\end{itemize}
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\end{itemize}
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\textbf{General Notes:}
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\begin{itemize}
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\item Give a brief overview of the history of QEC
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\item Note (and research if this is actually correct) that QC
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was developed on an abstract level before thinking of
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what hardware to use
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\item Note that there are other codes than stabilizer codes
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(and research and give some examples), but only
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stabilizer codes are considered in this work
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\item Degeneracy
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\item The QEC decoding problem (considering degeneracy)
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\end{itemize}
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}
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