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\documentclass[aspectratio=169]{beamer}
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\usepackage{amsmath,amssymb,amsfonts,bm}
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\usepackage{physics}
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\usepackage{braket}
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\usepackage{hyperref}
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\usepackage{tikz}
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\usepackage{quantikz}
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\usetheme{Madrid}
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\title{QAOA in Finance: A Research-Level Treatment}
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\subtitle{From S\&P Data to Spin Glasses and Quantum Circuits}
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\author{Morten Hjorth-Jensen}
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\date{Spring 2026}
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\begin{document}
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\frame{\titlepage}
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%================================================
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\section{Overview}
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%================================================
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\begin{frame}{Full Pipeline}
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\[
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\text{Financial Data}
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\rightarrow (\mu,\Sigma)
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\rightarrow \text{QUBO}
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\rightarrow \text{Ising Hamiltonian}
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\rightarrow \text{Pauli operators}
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\rightarrow \text{QAOA}
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\]
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\end{frame}
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%================================================
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\section{Finance Formulation}
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%================================================
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\begin{frame}{Mean-Variance Optimization}
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\[
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\min_x \left( -\mu^\top x + \lambda x^\top \Sigma x \right)
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\]
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\begin{itemize}
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\item $\mu_i$: expected return
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\item $\Sigma_{ij}$: covariance
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\item $x_i \in \{0,1\}$
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\end{itemize}
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\end{frame}
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\begin{frame}{Constraint: Fixed Budget}
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Add constraint:
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\[
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\sum_i x_i = K
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\]
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Penalty:
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\[
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C(x) \rightarrow C(x) + A\left(\sum_i x_i - K\right)^2
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\]
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\end{frame}
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%================================================
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\section{QUBO}
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%================================================
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\begin{frame}{QUBO Form}
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\[
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C(x) = x^\top Q x
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\]
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\[
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Q = \lambda \Sigma - \text{diag}(\mu) + \text{constraint terms}
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\]
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\end{frame}
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%================================================
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\section{Ising Mapping}
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%================================================
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\begin{frame}{Binary to Spin}
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\[
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x_i = \frac{1 - z_i}{2}, \quad z_i \in \{-1,1\}
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\]
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Insert into $C(x)$
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\end{frame}
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\begin{frame}{Resulting Hamiltonian}
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\[
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H = \sum_i h_i z_i + \sum_{i<j} J_{ij} z_i z_j
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\]
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\[
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h_i = -\frac{\mu_i}{2} + \text{penalty}
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\]
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\[
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J_{ij} = \frac{\lambda \Sigma_{ij}}{4}
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\]
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\end{frame}
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\begin{frame}{Spin Glass Interpretation}
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\begin{itemize}
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\item Disorder: covariance matrix
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\item Frustration: conflicting correlations
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\item Many local minima
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\end{itemize}
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\end{frame}
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%================================================
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\section{Quantum Mapping}
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%================================================
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\begin{frame}{Pauli Mapping}
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\[
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z_i \rightarrow Z_i
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\]
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\[
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H_C = \sum_i h_i Z_i + \sum_{i<j} J_{ij} Z_i Z_j
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\]
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\end{frame}
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%================================================
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\section{QAOA}
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%================================================
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\begin{frame}{Ansatz}
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\[
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\ket{\psi(\gamma,\beta)} = e^{-i\beta H_M} e^{-i\gamma H_C} \ket{+}^{\otimes n}
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\]
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\[
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H_M = \sum_i X_i
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\]
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\end{frame}
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\begin{frame}{p-layer QAOA}
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\[
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\prod_{k=1}^{p} e^{-i\beta_k H_M} e^{-i\gamma_k H_C}
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\]
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\end{frame}
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\begin{frame}{Variational Principle}
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\[
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E(\gamma,\beta) = \bra{\psi} H_C \ket{\psi}
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\]
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\end{frame}
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%================================================
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\section{Quantum Circuit}
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%================================================
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\begin{frame}{Circuit (p=1)}
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\begin{quantikz}
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\lstick{$q_1$} & \gate{H} & \gate{e^{-i\gamma H_C}} & \gate{R_x(2\beta)} & \meter{} \\
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\lstick{$q_2$} & \gate{H} & \gate{e^{-i\gamma H_C}} & \gate{R_x(2\beta)} & \meter{}
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\end{quantikz}
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\end{frame}
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%================================================
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\section{Worked Example}
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%================================================
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\begin{frame}{Real Data Workflow}
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\begin{enumerate}
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\item Download S\&P data (AAPL, MSFT, AMZN, GOOG)
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\item Compute returns
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\item Compute covariance
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\item Build Q matrix
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\item Map to Hamiltonian
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\item Run QAOA
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\end{enumerate}
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\end{frame}
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\begin{frame}{Returns}
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\[
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r_i(t) = \frac{P_i(t+1)-P_i(t)}{P_i(t)}
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\]
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\end{frame}
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\begin{frame}{Covariance}
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\[
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\Sigma_{ij} = \langle r_i r_j \rangle - \langle r_i \rangle \langle r_j \rangle
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\]
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\end{frame}
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\begin{frame}{Example Hamiltonian}
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\[
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H = \sum_i h_i Z_i + \sum_{i<j} J_{ij} Z_i Z_j
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\]
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Coefficients computed from real data.
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\end{frame}
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%================================================
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\section{Statistical Physics Connection}
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%================================================
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\begin{frame}{Partition Function}
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\[
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Z = \sum_{\{z\}} e^{-\beta H(z)}
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\]
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\end{frame}
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\begin{frame}{Free Energy}
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\[
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F = -\frac{1}{\beta} \ln Z
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\]
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\end{frame}
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\begin{frame}{QAOA as Variational Free Energy Minimization}
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\begin{itemize}
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\item QAOA approximates ground state
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\item Equivalent to minimizing energy landscape
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\end{itemize}
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\end{frame}
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%================================================
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\section{Scaling}
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%================================================
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\begin{frame}{Complexity}
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\begin{itemize}
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\item Classical: NP-hard
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\item Quantum: variational heuristic
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\end{itemize}
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\end{frame}
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%================================================
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\section{Summary}
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%================================================
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\begin{frame}{Key Insights}
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\begin{itemize}
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\item Finance maps to spin physics
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\item QAOA is a variational solver
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\item Data $\rightarrow$ Hamiltonian
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\end{itemize}
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\end{frame}
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\end{document}

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