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update week 11
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doc/pub/week11/ipynb/week11.ipynb

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"A \\mathbf{x} = \\mathbf{b}\n",
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"$$"
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"source": [
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"## Codes and plans for the coming two weeks (April 13-24)\n",
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"\n",
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"This week, with respect to codes, we focus on the **implementation of the QPE algorithm and the QFT algorithm**. For the HHL algorithm our main focus, as discussed in the slides at <https://github.com/CompPhysics/QuantumComputingMachineLearning/blob/gh-pages/doc/pub/week11/pdf/week11slides.pdf>, will be on the theoretical aspects of the algorithm. \n",
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"\n",
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"Next week we will discuss codes for the HHL algorithm applied to\n",
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"linear algebra problems and the solution of differential equations like\n",
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"the Poisson equation (week of April 13-17). We will also discuss the\n",
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"implementation and the theory behind the QAOA algorithm next week. The\n",
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"subsequent week we will link the QAOA algorithm to quantum machine\n",
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"learning and start with discussions quantum machine learning, with an\n",
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"emphasis on quantum support vector machines and quantum neural\n",
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"networks. These topics will be the main topics for the rest of the semester.\n",
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"\n",
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"Suggestions for project 2 will be presented April 8."
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]
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"metadata": {},
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doc/src/week11/week11.do.txt

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!et
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!split
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===== Codes and plans for the coming two weeks (April 13-24) =====
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This week, with respect to codes, we focus on the _implementation of the QPE algorithm and the QFT algorithm_. For the HHL algorithm our main focus, as discussed in the slides at URL:"https://github.com/CompPhysics/QuantumComputingMachineLearning/blob/gh-pages/doc/pub/week11/pdf/week11slides.pdf", will be on the theoretical aspects of the algorithm.
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Next week we will discuss codes for the HHL algorithm applied to
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linear algebra problems and the solution of differential equations like
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the Poisson equation (week of April 13-17). We will also discuss the
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implementation and the theory behind the QAOA algorithm next week. The
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subsequent week we will link the QAOA algorithm to quantum machine
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learning and start with discussions quantum machine learning, with an
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emphasis on quantum support vector machines and quantum neural
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networks. These topics will be the main topics for the rest of the semester.
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Suggestions for project 2 will be presented April 8.
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