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‎README.md‎

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- Robert Hundt, Quantum Computing for Programmers, https://www.cambridge.org/core/books/quantum-computing-for-programmers/BA1C887BE4AC0D0D5653E71FFBEF61C6
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- Robert Loredo, Learn Quantum Computing with Python and IBM Quantum Experience, see https://github.com/PacktPublishing/Learn-Quantum-Computing-with-Python-and-IBM-Quantum-Experience
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### Time: Each Wednesday at 215pm-4pm CET (The sessions will be recorded)
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-Permanent Zoom link for the whole semester:
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- https://msu.zoom.us/j/6424997467?pwd=ZW5jSGtEeHJxM0dqd0draXlWY29FQT09
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- Meeting ID: 642 499 7467
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- Passcode: FYS4411
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### Time: Each Wednesday at 215pm-4pm CET and exercise sessions 4pm-5pm (The lecture sessions will be recorded)
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-Permanent Zoom link for the whole semester to be added:
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## January 20-24, 2025. Overview of first week, Basic Notions of Quantum Mechanics

‎doc/pub/week1/html/week1-bs.html‎

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<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
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<meta name="generator" content="DocOnce: https://github.com/doconce/doconce/" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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<meta name="description" content="January 15-19: Quantum Computing, Quantum Machine Learning and Quantum Information Theories">
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<title>January 15-19: Quantum Computing, Quantum Machine Learning and Quantum Information Theories</title>
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<meta name="description" content="January 20-24: Quantum Computing, Quantum Machine Learning and Quantum Information Theories">
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<title>January 20-24: Quantum Computing, Quantum Machine Learning and Quantum Information Theories</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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<link href="https://netdna.bootstrapcdn.com/bootstrap/3.1.1/css/bootstrap.min.css" rel="stylesheet">
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2,
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'new-basis-is-also-orthogonal'),
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('More on orthogonality', 2, None, 'more-on-orthogonality')]}
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('More on orthogonality', 2, None, 'more-on-orthogonality'),
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('Exercises to test yourself',
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2,
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None,
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'exercises-to-test-yourself')]}
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end of tocinfo -->
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<body>
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<span class="icon-bar"></span>
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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">January 15-19: Quantum Computing, Quantum Machine Learning and Quantum Information Theories</a>
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<a class="navbar-brand" href="week1-bs.html">January 20-24: Quantum Computing, Quantum Machine Learning and Quantum Information Theories</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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<!-- navigation toc: --> <li><a href="#inverse-of-unitary-matrices" style="font-size: 80%;">Inverse of unitary matrices</a></li>
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<!-- navigation toc: --> <li><a href="#new-basis-is-also-orthogonal" style="font-size: 80%;">New basis is also orthogonal</a></li>
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<!-- navigation toc: --> <li><a href="#more-on-orthogonality" style="font-size: 80%;">More on orthogonality</a></li>
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<!-- navigation toc: --> <li><a href="#exercises-to-test-yourself" style="font-size: 80%;">Exercises to test yourself</a></li>
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</ul>
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</li>
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<!-- ------------------- main content ---------------------- -->
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<div class="jumbotron">
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<center>
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<h1>January 15-19: Quantum Computing, Quantum Machine Learning and Quantum Information Theories</h1>
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<h1>January 20-24: Quantum Computing, Quantum Machine Learning and Quantum Information Theories</h1>
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</center> <!-- document title -->
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<!-- author(s): Morten Hjorth-Jensen -->
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</center>
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<br>
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<center>
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<h4>Jan 19, 2024</h4>
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<h4>Dec 1, 2024</h4>
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</center> <!-- date -->
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<br>
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<li> Description of quantum systems and one-qubit systems</li>
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<li> States in Hilbert space, pure and mixed states</li>
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<li> Operators and simple gates</li>
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<li> <a href="https://youtu.be/YRobDADb63E" target="_self">Video of lecture</a></li>
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<li> <a href="https://youtu.be/" target="_self">Video of lecture to be added</a></li>
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</ol>
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<p><b>Reading recommendation</b>: <a href="https://link.springer.com/book/10.1007/978-3-030-12358-1" target="_self">Scherer, Mathematics of Quantum Computations, chapter 2</a></p>
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</div>
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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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<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 or applications of quantum machine learning algorithms</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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</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 22</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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length (the square root of the inner product) of the state vector.
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</p>
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<!-- !split -->
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<h2 id="exercises-to-test-yourself" class="anchor">Exercises to test yourself </h2>
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<p>To be added</p>
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<!-- ------------------- end of main content --------------- -->
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</div> <!-- end container -->
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<!-- include javascript, jQuery *first* -->

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

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<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
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<meta name="generator" content="DocOnce: https://github.com/doconce/doconce/" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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<meta name="description" content="January 15-19: Quantum Computing, Quantum Machine Learning and Quantum Information Theories">
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<meta name="description" content="January 20-24: Quantum Computing, Quantum Machine Learning and Quantum Information Theories">
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<!-- reveal.js: https://lab.hakim.se/reveal-js/ -->
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<section>
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<!-- ------------------- main content ---------------------- -->
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<center>
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<h1 style="text-align: center;">January 15-19: Quantum Computing, Quantum Machine Learning and Quantum Information Theories</h1>
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<h1 style="text-align: center;">January 20-24: Quantum Computing, Quantum Machine Learning and Quantum Information Theories</h1>
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</center> <!-- document title -->
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<!-- author(s): Morten Hjorth-Jensen -->
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<br>
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<h4>Jan 19, 2024</h4>
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<h4>Dec 1, 2024</h4>
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</center> <!-- date -->
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<br>
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<p><li> States in Hilbert space, pure and mixed states</li>
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<p><li> Operators and simple gates</li>
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<p><li> <a href="https://youtu.be/YRobDADb63E" target="_blank">Video of lecture</a></li>
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<p><li> <a href="https://youtu.be/" target="_blank">Video of lecture to be added</a></li>
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</ol>
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<p>
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<p><b>Reading recommendation</b>: <a href="https://link.springer.com/book/10.1007/978-3-030-12358-1" target="_blank">Scherer, Mathematics of Quantum Computations, chapter 2</a></p>
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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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<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 or applications of quantum machine learning algorithms</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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</ul>
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<p>
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<p><li> Two project which count \( 50\% \) each for the final grade</li>
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<p><li> Deadline first project March 22</li>
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<p><li> Deadline first project March 21</li>
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<p><li> Deadline second project June 1</li>
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<p><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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<section>
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<h2 id="exercises-to-test-yourself">Exercises to test yourself </h2>
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<p>To be added</p>
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</div> <!-- class="slides" -->

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

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<title>January 15-19: Quantum Computing, Quantum Machine Learning and Quantum Information Theories</title>
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<meta name="description" content="January 20-24: Quantum Computing, Quantum Machine Learning and Quantum Information Theories">
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<title>January 20-24: Quantum Computing, Quantum Machine Learning and Quantum Information Theories</title>
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<link href="https://cdn.rawgit.com/doconce/doconce/master/bundled/html_styles/style_solarized_box/css/solarized_light_code.css" rel="stylesheet" type="text/css" title="light"/>
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'new-basis-is-also-orthogonal'),
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('More on orthogonality', 2, None, 'more-on-orthogonality'),
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<!-- ------------------- main content ---------------------- -->
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<h1>January 15-19: Quantum Computing, Quantum Machine Learning and Quantum Information Theories</h1>
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<h1>January 20-24: Quantum Computing, Quantum Machine Learning and Quantum Information Theories</h1>
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<!-- author(s): Morten Hjorth-Jensen -->
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<h4>Jan 19, 2024</h4>
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<h4>Dec 1, 2024</h4>
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<br>
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<li> Description of quantum systems and one-qubit systems</li>
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<li> States in Hilbert space, pure and mixed states</li>
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<li> Operators and simple gates</li>
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<li> <a href="https://youtu.be/YRobDADb63E" target="_blank">Video of lecture</a></li>
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<li> <a href="https://youtu.be/" target="_blank">Video of lecture to be added</a></li>
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</ol>
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<p><b>Reading recommendation</b>: <a href="https://link.springer.com/book/10.1007/978-3-030-12358-1" target="_blank">Scherer, Mathematics of Quantum Computations, chapter 2</a></p>
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</div>
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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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<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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</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 22</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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<!-- !split --><br><br><br><br><br><br><br><br><br><br>
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<h2 id="exercises-to-test-yourself">Exercises to test yourself </h2>
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<p>To be added</p>
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<!-- ------------------- end of main content --------------- -->
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<center style="font-size:80%">
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<!-- copyright --> &copy; 1999-2024, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license

‎doc/pub/week1/html/week1.html‎

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<!-- ------------------- main content ---------------------- -->
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<h1>January 20-24: Quantum Computing, Quantum Machine Learning and Quantum Information Theories</h1>
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<!-- author(s): Morten Hjorth-Jensen -->
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<h4>Jan 19, 2024</h4>
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<h4>Dec 1, 2024</h4>
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</center> <!-- date -->
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<br>
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<li> Description of quantum systems and one-qubit systems</li>
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<li> States in Hilbert space, pure and mixed states</li>
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<li> Operators and simple gates</li>
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<li> <a href="https://youtu.be/YRobDADb63E" target="_blank">Video of lecture</a></li>
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<li> <a href="https://youtu.be/" target="_blank">Video of lecture to be added</a></li>
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</ol>
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<p><b>Reading recommendation</b>: <a href="https://link.springer.com/book/10.1007/978-3-030-12358-1" target="_blank">Scherer, Mathematics of Quantum Computations, chapter 2</a></p>
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</div>
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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 or applications of quantum machine learning algorithms</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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</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 22</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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length (the square root of the inner product) of the state vector.
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<!-- !split --><br><br><br><br><br><br><br><br><br><br>
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<h2 id="exercises-to-test-yourself">Exercises to test yourself </h2>
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<p>To be added</p>
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<!-- ------------------- end of main content --------------- -->
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<center style="font-size:80%">
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<!-- copyright --> &copy; 1999-2024, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license

‎doc/pub/week1/ipynb/ipynb-week1-src.tar.gz‎

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