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<li> Scherer, Mathematics of Quantum Computations, chapter 2 at <ahref="https://link.springer.com/book/10.1007/978-3-030-12358-1" target="_self"><tt>https://link.springer.com/book/10.1007/978-3-030-12358-1</tt></a></li>
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<li> Hidary, Quantum Computing: An Applied Approach, chapter 12 at <ahref="https://link.springer.com/book/10.1007/978-3-030-23922-0" target="_self"><tt>https://link.springer.com/book/10.1007/978-3-030-23922-0</tt></a></li>
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<li> You may also find chapters 1-2 of Olivares useful, see <ahref="https://link.springer.com/book/10.1007/978-3-031-83361-8" target="_self"><tt>https://link.springer.com/book/10.1007/978-3-031-83361-8</tt></a></li>
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<p>These chpaters from different textbooks give you an overview of some of the central (often linear algebra) mathematical elements needed for quantum computing. The aim of these lecture notes aim at giving you a basic overview of central mathematical elements. For more details we refer you to the above texts and the companion lecture notes.</p>
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<li> Maria Schuld and Francesco Petruccione, Machine Learning with Quantum Computers, see <ahref="https://link.springer.com/book/10.1007/978-3-030-83098-4" target="_self"><tt>https://link.springer.com/book/10.1007/978-3-030-83098-4</tt></a></li>
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<li> Claudio Conti, Quantum Machine Learning (Springer), see UR:"https://link.springer.com/book/10.1007/978-3-031-44226-1"</li>
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<li> Wolfgang Scherer, Mathematics of Quantum Computing, see <ahref="https://link.springer.com/book/10.1007/978-3-030-12358-1" target="_self"><tt>https://link.springer.com/book/10.1007/978-3-030-12358-1</tt></a></li>
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<li> Hidary, Quantum Computing: An Applied Approach, see URL:https://link.springer.com/book/10.1007/978-3-030-23922-0"</li>
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<li> Stefano Olivares, A Student’s Guide to Quantum Computing, see <ahref="https://link.springer.com/book/10.1007/978-3-031-83361-8" target="_self"><tt>https://link.springer.com/book/10.1007/978-3-031-83361-8</tt></a></li>
<h2id="possible-textbooks-quantum-ml" class="anchor">Possible textbooks, Quantum ML </h2>
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<li> Maria Schuld and Francesco Petruccione, Machine Learning with Quantum Computers, see <ahref="https://link.springer.com/book/10.1007/978-3-030-83098-4" target="_self"><tt>https://link.springer.com/book/10.1007/978-3-030-83098-4</tt></a></li>
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<li> Claudio Conti, Quantum Machine Learning (Springer), see UR:"https://link.springer.com/book/10.1007/978-3-031-44226-1"</li>
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<h2id="classic-texts-and-lecture-notes" class="anchor">Classic texts and lecture notes </h2>
<p><li> Scherer, Mathematics of Quantum Computations, chapter 2 at <ahref="https://link.springer.com/book/10.1007/978-3-030-12358-1" target="_blank"><tt>https://link.springer.com/book/10.1007/978-3-030-12358-1</tt></a></li>
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<p><li> Hidary, Quantum Computing: An Applied Approach, chapter 12 at <ahref="https://link.springer.com/book/10.1007/978-3-030-23922-0" target="_blank"><tt>https://link.springer.com/book/10.1007/978-3-030-23922-0</tt></a></li>
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<p><li> You may also find chapters 1-2 of Olivares useful, see <ahref="https://link.springer.com/book/10.1007/978-3-031-83361-8" target="_blank"><tt>https://link.springer.com/book/10.1007/978-3-031-83361-8</tt></a></li>
<p>These chpaters from different textbooks give you an overview of some of the central (often linear algebra) mathematical elements needed for quantum computing. The aim of these lecture notes aim at giving you a basic overview of central mathematical elements. For more details we refer you to the above texts and the companion lecture notes.</p>
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@@ -258,6 +269,17 @@ <h2 id="topics-for-the-projects">Topics for the projects </h2>
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<p><li> Second project: Continuation of the first topic with more realistic systems and using adaptive VQE</li>
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<p><li> Second project: Applications and implementations of quantum machine learning algorithms</li>
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<p><li> Second project: Studies of entanglement and physical realization of quantum gates and circuits</li>
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<h2id="more-topics-for-the-second-projects">More topics for the second projects </h2>
<p><li> Maria Schuld and Francesco Petruccione, Machine Learning with Quantum Computers, see <ahref="https://link.springer.com/book/10.1007/978-3-030-83098-4" target="_blank"><tt>https://link.springer.com/book/10.1007/978-3-030-83098-4</tt></a></li>
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<p><li> Claudio Conti, Quantum Machine Learning (Springer), see UR:"https://link.springer.com/book/10.1007/978-3-031-44226-1"</li>
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<p><li> Wolfgang Scherer, Mathematics of Quantum Computing, see <ahref="https://link.springer.com/book/10.1007/978-3-030-12358-1" target="_blank"><tt>https://link.springer.com/book/10.1007/978-3-030-12358-1</tt></a></li>
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<p><li> Hidary, Quantum Computing: An Applied Approach, see URL:https://link.springer.com/book/10.1007/978-3-030-23922-0"</li>
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<p><li> Stefano Olivares, A Student’s Guide to Quantum Computing, see <ahref="https://link.springer.com/book/10.1007/978-3-031-83361-8" target="_blank"><tt>https://link.springer.com/book/10.1007/978-3-031-83361-8</tt></a></li>
<p><li> Maria Schuld and Francesco Petruccione, Machine Learning with Quantum Computers, see <ahref="https://link.springer.com/book/10.1007/978-3-030-83098-4" target="_blank"><tt>https://link.springer.com/book/10.1007/978-3-030-83098-4</tt></a></li>
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<p><li> Claudio Conti, Quantum Machine Learning (Springer), see UR:"https://link.springer.com/book/10.1007/978-3-031-44226-1"</li>
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<h2id="classic-texts-and-lecture-notes">Classic texts and lecture notes </h2>
<li> Scherer, Mathematics of Quantum Computations, chapter 2 at <ahref="https://link.springer.com/book/10.1007/978-3-030-12358-1" target="_blank"><tt>https://link.springer.com/book/10.1007/978-3-030-12358-1</tt></a></li>
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<li> Hidary, Quantum Computing: An Applied Approach, chapter 12 at <ahref="https://link.springer.com/book/10.1007/978-3-030-23922-0" target="_blank"><tt>https://link.springer.com/book/10.1007/978-3-030-23922-0</tt></a></li>
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<li> You may also find chapters 1-2 of Olivares useful, see <ahref="https://link.springer.com/book/10.1007/978-3-031-83361-8" target="_blank"><tt>https://link.springer.com/book/10.1007/978-3-031-83361-8</tt></a></li>
<p>These chpaters from different textbooks give you an overview of some of the central (often linear algebra) mathematical elements needed for quantum computing. The aim of these lecture notes aim at giving you a basic overview of central mathematical elements. For more details we refer you to the above texts and the companion lecture notes.</p>
<li> Maria Schuld and Francesco Petruccione, Machine Learning with Quantum Computers, see <ahref="https://link.springer.com/book/10.1007/978-3-030-83098-4" target="_blank"><tt>https://link.springer.com/book/10.1007/978-3-030-83098-4</tt></a></li>
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<li> Claudio Conti, Quantum Machine Learning (Springer), see UR:"https://link.springer.com/book/10.1007/978-3-031-44226-1"</li>
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<li> Wolfgang Scherer, Mathematics of Quantum Computing, see <ahref="https://link.springer.com/book/10.1007/978-3-030-12358-1" target="_blank"><tt>https://link.springer.com/book/10.1007/978-3-030-12358-1</tt></a></li>
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<li> Hidary, Quantum Computing: An Applied Approach, see URL:https://link.springer.com/book/10.1007/978-3-030-23922-0"</li>
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<li> Stefano Olivares, A Student’s Guide to Quantum Computing, see <ahref="https://link.springer.com/book/10.1007/978-3-031-83361-8" target="_blank"><tt>https://link.springer.com/book/10.1007/978-3-031-83361-8</tt></a></li>
<li> Maria Schuld and Francesco Petruccione, Machine Learning with Quantum Computers, see <ahref="https://link.springer.com/book/10.1007/978-3-030-83098-4" target="_blank"><tt>https://link.springer.com/book/10.1007/978-3-030-83098-4</tt></a></li>
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<li> Claudio Conti, Quantum Machine Learning (Springer), see UR:"https://link.springer.com/book/10.1007/978-3-031-44226-1"</li>
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