Update week1.do.txt

Author: mhjensen

doc/src/week1/week1.do.txt

@@ -18,9 +18,15 @@ DATE: January 21, 2026
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 ===== Reading recommendation =====
 
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 o Scherer, Mathematics of Quantum Computations, chapter 2 at URL:"https://link.springer.com/book/10.1007/978-3-030-12358-1"
 o Hidary, Quantum Computing: An Applied Approach, chapter 12 at URL:"https://link.springer.com/book/10.1007/978-3-030-23922-0"
 o You may also find chapters 1-2 of Olivares useful, see URL:"https://link.springer.com/book/10.1007/978-3-031-83361-8"
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+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.
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 ===== Practicalities =====
@@ -48,12 +54,21 @@ o First project: Quantum computing and simulation of quantum mechanical systems
 o Second project: Continuation of the first topic with  more realistic systems and using adaptive VQE
 o Second project: Applications and implementations of quantum machine learning algorithms
 o Second project: Studies of entanglement and physical realization of quantum gates and circuits
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+===== More topics for the second  projects =====
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 o Second project: Implementation of quantum simulators on actual (real) quantum computers
 o Second project: Simulation of linear algebra systems on quantum computers, solving differential equations
 o Second project: Implementation and studies of the Quantum Approximate Optimization Algorithm (QAOA)
 o Second project: Implementing Shor's algorithm or other
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 Project two examples at URL:"https://github.com/CompPhysics/QuantumComputingMachineLearning/tree/gh-pages/doc/Projects/ProjectExamples"
 
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@@ -65,18 +80,27 @@ o Exercise sessions: Wednesday 815-10, first session January 28. Last session Ma
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-=====  Possible  textbooks =====
+=====  Possible  textbooks, Quantum Computing =====
 
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-o Maria Schuld and Francesco Petruccione, Machine Learning with Quantum Computers, see URL:"https://link.springer.com/book/10.1007/978-3-030-83098-4"
-o Claudio Conti, Quantum Machine Learning (Springer), see UR:"https://link.springer.com/book/10.1007/978-3-031-44226-1"
 o Wolfgang Scherer, Mathematics of Quantum Computing, see URL:"https://link.springer.com/book/10.1007/978-3-030-12358-1"
 o Hidary, Quantum Computing: An Applied Approach, see URL:https://link.springer.com/book/10.1007/978-3-030-23922-0"
 o Stefano Olivares, A Student’s Guide to Quantum Computing, see URL:"https://link.springer.com/book/10.1007/978-3-031-83361-8"
 o Robert Hundt, Quantum Computing for Programmers, URL:"https://www.cambridge.org/core/books/quantum-computing-for-programmers/BA1C887BE4AC0D0D5653E71FFBEF61C6"
 o Robert Loredo, Learn Quantum Computing with Python and IBM Quantum Experience, see URL:"https://github.com/PacktPublishing/Learn-Quantum-Computing-with-Python-and-IBM-Quantum-Experience"
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+=====  Possible  textbooks, Quantum ML =====
+
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+o Maria Schuld and Francesco Petruccione, Machine Learning with Quantum Computers, see URL:"https://link.springer.com/book/10.1007/978-3-030-83098-4"
+o Claudio Conti, Quantum Machine Learning (Springer), see UR:"https://link.springer.com/book/10.1007/978-3-031-44226-1"
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 ===== Classic texts and lecture notes =====