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doc/pub/week1/html/week1-bs.html

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@@ -721,17 +721,17 @@ <h2 id="the-exponentiality-of-qm-i" class="anchor">The exponentiality of QM I </
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<ol>
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<li> Answer 1: 100+ years of extremely clever approximations and shortcuts for calculations.</li>
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<ul>
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<li> Examples: Bethe ansatz, Feynman diagrams, perturbation theory, mean field approximations, \dots</li>
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<li> Examples: Bethe ansatz, Feynman diagrams, perturbation theory, mean field approximations, \( \dots \)</li>
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</ul>
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<li> Answer 2: computer simulations</li>
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<li> Answer 2: Computer simulations</li>
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<ul>
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<li> Examples: Density functional theory, Quantum Markov Chain Monte Carlo</li>
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<li> Examples: Density functional theory, Quantum Markov Chain Monte Carlo, Full Configuration interaction theory, Coupled-Cluster, DMRG, \( \dots \)</li>
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</ul>
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<li> Answer 3: studying systems that allow for Answers 1 and 2 above</li>
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<ul>
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<li> Systems that are mostly classical</li>
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<li> Systems with non-strongly interacting particles</li>
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<li> Lucky that most things we&#8217;ve studied so far fall in this category!</li>
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<li> Very often we simualte systems with non-strongly interacting particles (1), but can do strongly interacting (Monte Carlo methods)</li>
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<li> Most systems studied assume that a single-particle basis is a good approximation.</li>
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</ul>
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</ol>
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</div>

doc/pub/week1/html/week1-reveal.html

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<p><li> Answer 1: 100+ years of extremely clever approximations and shortcuts for calculations.</li>
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<ul>
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<p><li> Examples: Bethe ansatz, Feynman diagrams, perturbation theory, mean field approximations, \dots</li>
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<p><li> Examples: Bethe ansatz, Feynman diagrams, perturbation theory, mean field approximations, \( \dots \)</li>
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</ul>
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<p>
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<p><li> Answer 2: computer simulations</li>
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<p><li> Answer 2: Computer simulations</li>
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<ul>
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<p><li> Examples: Density functional theory, Quantum Markov Chain Monte Carlo</li>
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<p><li> Examples: Density functional theory, Quantum Markov Chain Monte Carlo, Full Configuration interaction theory, Coupled-Cluster, DMRG, \( \dots \)</li>
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</ul>
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<p>
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<p><li> Answer 3: studying systems that allow for Answers 1 and 2 above</li>
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<ul>
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<p><li> Systems that are mostly classical</li>
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<p><li> Systems with non-strongly interacting particles</li>
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<p><li> Very often we simualte systems with non-strongly interacting particles (1), but can do strongly interacting (Monte Carlo methods)</li>
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<p><li> Lucky that most things we&#8217;ve studied so far fall in this category!</li>
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<p><li> Most systems studied assume that a single-particle basis is a good approximation.</li>
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</ul>
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<p>
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</ol>

doc/pub/week1/html/week1-solarized.html

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<ol>
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<li> Answer 1: 100+ years of extremely clever approximations and shortcuts for calculations.</li>
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<ul>
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<li> Examples: Bethe ansatz, Feynman diagrams, perturbation theory, mean field approximations, \dots</li>
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<li> Examples: Bethe ansatz, Feynman diagrams, perturbation theory, mean field approximations, \( \dots \)</li>
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</ul>
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<li> Answer 2: computer simulations</li>
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<li> Answer 2: Computer simulations</li>
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<ul>
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<li> Examples: Density functional theory, Quantum Markov Chain Monte Carlo</li>
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<li> Examples: Density functional theory, Quantum Markov Chain Monte Carlo, Full Configuration interaction theory, Coupled-Cluster, DMRG, \( \dots \)</li>
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</ul>
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<li> Answer 3: studying systems that allow for Answers 1 and 2 above</li>
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<ul>
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<li> Systems that are mostly classical</li>
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<li> Systems with non-strongly interacting particles</li>
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<li> Lucky that most things we&#8217;ve studied so far fall in this category!</li>
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<li> Very often we simualte systems with non-strongly interacting particles (1), but can do strongly interacting (Monte Carlo methods)</li>
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<li> Most systems studied assume that a single-particle basis is a good approximation.</li>
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</ul>
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</ol>
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</div>

doc/pub/week1/html/week1.html

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<ol>
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<li> Answer 1: 100+ years of extremely clever approximations and shortcuts for calculations.</li>
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<ul>
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<li> Examples: Bethe ansatz, Feynman diagrams, perturbation theory, mean field approximations, \dots</li>
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<li> Examples: Bethe ansatz, Feynman diagrams, perturbation theory, mean field approximations, \( \dots \)</li>
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</ul>
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<li> Answer 2: computer simulations</li>
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<li> Answer 2: Computer simulations</li>
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<ul>
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<li> Examples: Density functional theory, Quantum Markov Chain Monte Carlo</li>
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<li> Examples: Density functional theory, Quantum Markov Chain Monte Carlo, Full Configuration interaction theory, Coupled-Cluster, DMRG, \( \dots \)</li>
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</ul>
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<li> Answer 3: studying systems that allow for Answers 1 and 2 above</li>
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<ul>
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<li> Systems that are mostly classical</li>
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<li> Systems with non-strongly interacting particles</li>
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<li> Lucky that most things we&#8217;ve studied so far fall in this category!</li>
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<li> Very often we simualte systems with non-strongly interacting particles (1), but can do strongly interacting (Monte Carlo methods)</li>
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<li> Most systems studied assume that a single-particle basis is a good approximation.</li>
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</ul>
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</ol>
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</div>
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