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

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<meta name="description" content="Quantum Computing and Quantum Machine Learning">
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<title>Quantum Computing and Quantum Machine Learning</title>
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<!-- Bootstrap style: bootstrap -->
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<!-- doconce format html week1.do.txt --html_style=bootstrap --pygments_html_style=default --html_admon=bootstrap_panel --html_output=week1-bs --no_mako -->
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<span class="icon-bar"></span>
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</button>
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<a class="navbar-brand" href="week1-bs.html">Quantum Computing, Quantum Machine Learning and Quantum Information Theories</a>
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<a class="navbar-brand" href="week1-bs.html">Quantum Computing and Quantum Machine Learning</a>
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</div>
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<div class="navbar-collapse collapse navbar-responsive-collapse">
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<ul class="nav navbar-nav navbar-right">
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<ul class="dropdown-menu">
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<!-- navigation toc: --> <li><a href="#overview-of-first-week-basic-notions-of-quantum-mechanics" style="font-size: 80%;">Overview of first week, Basic Notions of Quantum Mechanics</a></li>
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<!-- navigation toc: --> <li><a href="#practicalities" style="font-size: 80%;">Practicalities</a></li>
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<!-- navigation toc: --> <li><a href="#possible-textbooks" style="font-size: 80%;">Possible textbooks</a></li>
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<!-- navigation toc: --> <li><a href="#online-material-of-possible-interest" style="font-size: 80%;">Online material of possible interest</a></li>
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<!-- navigation toc: --> <li><a href="#notations-and-definitions" style="font-size: 80%;">Notations and definitions</a></li>
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<!-- navigation toc: --> <li><a href="#some-mathematical-notations" style="font-size: 80%;">Some mathematical notations</a></li>
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<!-- ------------------- main content ---------------------- -->
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<div class="jumbotron">
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<center>
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<h1>Quantum Computing, Quantum Machine Learning and Quantum Information Theories</h1>
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<h1>Quantum Computing and Quantum Machine Learning</h1>
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</center> <!-- document title -->
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<!-- author(s): Morten Hjorth-Jensen -->
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<h2 id="practicalities" class="anchor">Practicalities </h2>
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<ol>
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<li> Although the course is defined as a self-study course, we will have weekly lectures with small weekly exercise assignments</li>
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<li> We plan to work on two projects which will define the content of the course, the format can be agreed upon by the participants but the following topics can be included</li>
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<li> Weekly lectures with weekly exercise sessions and assignments. The assignments are meant as background for the twp projects</li>
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<li> We plan to work on two projects which will define the content of the course, the format can be agreed upon by the participants but the following topics are those we wish to focus on:</li>
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<ul>
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<li> Quantum computing and simulation of quantum mechanical model systenms</li>
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<li> Continuation of the first topic to more realistic systems using adaptive VQE or applications of quantum machine learning algorithms</li>
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<li> First project: Quantum computing and simulation of quantum mechanical model systems</li>
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<li> Second project: Continuation of the first topic to more realistic systems using adaptive VQE</li>
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<li> Second project: Applications and implementations of quantum machine learning algorithms</li>
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<li> Second project: studies of entanglement and physical realization of quantum gates and circuits</li>
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</ul>
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<li> Two project which count \( 50\% \) each for the final grade</li>
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<li> Deadline first project March 21</li>
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<li> Deadline second project June 1</li>
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<li> All info at the GitHub address <a href="https://github.com/CompPhysics/QuantumComputingMachineLearning" target="_self"><tt>https://github.com/CompPhysics/QuantumComputingMachineLearning</tt></a></li>
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</ol>
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<!-- !split -->
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<h2 id="possible-textbooks" class="anchor">Possible textbooks </h2>
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<ol>
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<li> Maria Schuld and Francesco Petruccione, Machine Learning with Quantum Computers, see <a href="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> Wolfgang Scherer, Mathematics of Quantum Computing, see <a href="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> Robert Hundt, Quantum Computing for Programmers, <a href="https://www.cambridge.org/core/books/quantum-computing-for-programmers/BA1C887BE4AC0D0D5653E71FFBEF61C6" target="_self"><tt>https://www.cambridge.org/core/books/quantum-computing-for-programmers/BA1C887BE4AC0D0D5653E71FFBEF61C6</tt></a></li>
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<li> Robert Loredo, Learn Quantum Computing with Python and IBM Quantum Experience, see <a href="https://github.com/PacktPublishing/Learn-Quantum-Computing-with-Python-and-IBM-Quantum-Experience" target="_self"><tt>https://github.com/PacktPublishing/Learn-Quantum-Computing-with-Python-and-IBM-Quantum-Experience</tt></a></li>
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</ol>
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<!-- !split -->
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<h2 id="online-material-of-possible-interest" class="anchor">Online material of possible interest </h2>
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<ol>
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<li> See IBM's Quantum Computer Programming: Hands-On Workshop at <a href="https://quantgates.com/learn-quantum" target="_self"><tt>https://quantgates.com/learn-quantum</tt></a></li>

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

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<!-- ------------------- main content ---------------------- -->
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<h1 style="text-align: center;">Quantum Computing, Quantum Machine Learning and Quantum Information Theories</h1>
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<h1 style="text-align: center;">Quantum Computing and Quantum Machine Learning</h1>
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<!-- author(s): Morten Hjorth-Jensen -->
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<h2 id="practicalities">Practicalities </h2>
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<ol>
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<p><li> Although the course is defined as a self-study course, we will have weekly lectures with small weekly exercise assignments</li>
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<p><li> We plan to work on two projects which will define the content of the course, the format can be agreed upon by the participants but the following topics can be included</li>
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<p><li> Weekly lectures with weekly exercise sessions and assignments. The assignments are meant as background for the twp projects</li>
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<p><li> We plan to work on two projects which will define the content of the course, the format can be agreed upon by the participants but the following topics are those we wish to focus on:</li>
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<ul>
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<p><li> Quantum computing and simulation of quantum mechanical model systenms</li>
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<p><li> Continuation of the first topic to more realistic systems using adaptive VQE or applications of quantum machine learning algorithms</li>
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<p><li> First project: Quantum computing and simulation of quantum mechanical model systems</li>
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<p><li> Second project: Continuation of the first topic to more realistic systems 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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</ul>
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<p><li> Two project which count \( 50\% \) each for the final grade</li>
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</section>
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<section>
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<h2 id="possible-textbooks">Possible textbooks </h2>
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<ol>
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<p><li> Maria Schuld and Francesco Petruccione, Machine Learning with Quantum Computers, see <a href="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> Wolfgang Scherer, Mathematics of Quantum Computing, see <a href="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> Robert Hundt, Quantum Computing for Programmers, <a href="https://www.cambridge.org/core/books/quantum-computing-for-programmers/BA1C887BE4AC0D0D5653E71FFBEF61C6" target="_blank"><tt>https://www.cambridge.org/core/books/quantum-computing-for-programmers/BA1C887BE4AC0D0D5653E71FFBEF61C6</tt></a></li>
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<p><li> Robert Loredo, Learn Quantum Computing with Python and IBM Quantum Experience, see <a href="https://github.com/PacktPublishing/Learn-Quantum-Computing-with-Python-and-IBM-Quantum-Experience" target="_blank"><tt>https://github.com/PacktPublishing/Learn-Quantum-Computing-with-Python-and-IBM-Quantum-Experience</tt></a></li>
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</ol>
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</section>
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<h2 id="online-material-of-possible-interest">Online material of possible interest </h2>
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doc/pub/week1/html/week1-solarized.html

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<!-- ------------------- main content ---------------------- -->
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<h1>Quantum Computing, Quantum Machine Learning and Quantum Information Theories</h1>
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<h1>Quantum Computing and Quantum Machine Learning</h1>
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<!-- author(s): Morten Hjorth-Jensen -->
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<h2 id="practicalities">Practicalities </h2>
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<ol>
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<li> Although the course is defined as a self-study course, we will have weekly lectures with small weekly exercise assignments</li>
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<li> We plan to work on two projects which will define the content of the course, the format can be agreed upon by the participants but the following topics can be included</li>
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<li> Weekly lectures with weekly exercise sessions and assignments. The assignments are meant as background for the twp projects</li>
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<li> We plan to work on two projects which will define the content of the course, the format can be agreed upon by the participants but the following topics are those we wish to focus on:</li>
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<ul>
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<li> Quantum computing and simulation of quantum mechanical model systenms</li>
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<li> Continuation of the first topic to more realistic systems using adaptive VQE or applications of quantum machine learning algorithms</li>
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<li> First project: Quantum computing and simulation of quantum mechanical model systems</li>
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<li> Second project: Continuation of the first topic to more realistic systems using adaptive VQE</li>
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<li> Second project: Applications and implementations of quantum machine learning algorithms</li>
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<li> Second project: studies of entanglement and physical realization of quantum gates and circuits</li>
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</ul>
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<li> Two project which count \( 50\% \) each for the final grade</li>
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<li> Deadline first project March 21</li>
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<li> Deadline second project June 1</li>
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<li> All info at the GitHub address <a href="https://github.com/CompPhysics/QuantumComputingMachineLearning" target="_blank"><tt>https://github.com/CompPhysics/QuantumComputingMachineLearning</tt></a></li>
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</ol>
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<!-- !split --><br><br><br><br><br><br><br><br><br><br>
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<h2 id="possible-textbooks">Possible textbooks </h2>
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<ol>
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<li> Maria Schuld and Francesco Petruccione, Machine Learning with Quantum Computers, see <a href="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> Wolfgang Scherer, Mathematics of Quantum Computing, see <a href="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> Robert Hundt, Quantum Computing for Programmers, <a href="https://www.cambridge.org/core/books/quantum-computing-for-programmers/BA1C887BE4AC0D0D5653E71FFBEF61C6" target="_blank"><tt>https://www.cambridge.org/core/books/quantum-computing-for-programmers/BA1C887BE4AC0D0D5653E71FFBEF61C6</tt></a></li>
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<li> Robert Loredo, Learn Quantum Computing with Python and IBM Quantum Experience, see <a href="https://github.com/PacktPublishing/Learn-Quantum-Computing-with-Python-and-IBM-Quantum-Experience" target="_blank"><tt>https://github.com/PacktPublishing/Learn-Quantum-Computing-with-Python-and-IBM-Quantum-Experience</tt></a></li>
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</ol>
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<!-- !split --><br><br><br><br><br><br><br><br><br><br>
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<h2 id="online-material-of-possible-interest">Online material of possible interest </h2>
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<li> See IBM's Quantum Computer Programming: Hands-On Workshop at <a href="https://quantgates.com/learn-quantum" target="_blank"><tt>https://quantgates.com/learn-quantum</tt></a></li>

doc/pub/week1/html/week1.html

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<!-- ------------------- main content ---------------------- -->
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<h1>Quantum Computing, Quantum Machine Learning and Quantum Information Theories</h1>
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<h1>Quantum Computing and Quantum Machine Learning</h1>
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<!-- author(s): Morten Hjorth-Jensen -->
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<h2 id="practicalities">Practicalities </h2>
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<ol>
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<li> Although the course is defined as a self-study course, we will have weekly lectures with small weekly exercise assignments</li>
334-
<li> We plan to work on two projects which will define the content of the course, the format can be agreed upon by the participants but the following topics can be included</li>
334+
<li> Weekly lectures with weekly exercise sessions and assignments. The assignments are meant as background for the twp projects</li>
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<li> We plan to work on two projects which will define the content of the course, the format can be agreed upon by the participants but the following topics are those we wish to focus on:</li>
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<ul>
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<li> Quantum computing and simulation of quantum mechanical model systenms</li>
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<li> Continuation of the first topic to more realistic systems using adaptive VQE or applications of quantum machine learning algorithms</li>
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<li> First project: Quantum computing and simulation of quantum mechanical model systems</li>
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<li> Second project: Continuation of the first topic to more realistic systems using adaptive VQE</li>
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<li> Second project: Applications and implementations of quantum machine learning algorithms</li>
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<li> Second project: studies of entanglement and physical realization of quantum gates and circuits</li>
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</ul>
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<li> Two project which count \( 50\% \) each for the final grade</li>
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<li> Deadline first project March 21</li>
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<li> Deadline second project June 1</li>
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<li> All info at the GitHub address <a href="https://github.com/CompPhysics/QuantumComputingMachineLearning" target="_blank"><tt>https://github.com/CompPhysics/QuantumComputingMachineLearning</tt></a></li>
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</ol>
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<!-- !split --><br><br><br><br><br><br><br><br><br><br>
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<h2 id="possible-textbooks">Possible textbooks </h2>
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<ol>
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<li> Maria Schuld and Francesco Petruccione, Machine Learning with Quantum Computers, see <a href="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> Wolfgang Scherer, Mathematics of Quantum Computing, see <a href="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> Robert Hundt, Quantum Computing for Programmers, <a href="https://www.cambridge.org/core/books/quantum-computing-for-programmers/BA1C887BE4AC0D0D5653E71FFBEF61C6" target="_blank"><tt>https://www.cambridge.org/core/books/quantum-computing-for-programmers/BA1C887BE4AC0D0D5653E71FFBEF61C6</tt></a></li>
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<li> Robert Loredo, Learn Quantum Computing with Python and IBM Quantum Experience, see <a href="https://github.com/PacktPublishing/Learn-Quantum-Computing-with-Python-and-IBM-Quantum-Experience" target="_blank"><tt>https://github.com/PacktPublishing/Learn-Quantum-Computing-with-Python-and-IBM-Quantum-Experience</tt></a></li>
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</ol>
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<!-- !split --><br><br><br><br><br><br><br><br><br><br>
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<h2 id="online-material-of-possible-interest">Online material of possible interest </h2>
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<li> See IBM's Quantum Computer Programming: Hands-On Workshop at <a href="https://quantgates.com/learn-quantum" target="_blank"><tt>https://quantgates.com/learn-quantum</tt></a></li>
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