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### Possible textbooks:
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- Maria Schuld and Francesco Petruccione, Machine Learning with Quantum Computers, see https://link.springer.com/book/10.1007/978-3-030-83098-4
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- Wolfgang Scherer, Mathematics of Quantum Computing, see https://link.springer.com/book/10.1007/978-3-030-12358-1
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- Hidary, Quantum Computing: An Applied Approach, see https://link.springer.com/book/10.1007/978-3-030-23922-0
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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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- Claudio Conti, Quantum Machine Learning (Springer), https://link.springer.com/book/10.1007/978-3-031-44226-1
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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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- States in Hilbert Space, pure and mixed states
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- Video of lecture to be added https://youtu.be/
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- Teaching material in different formats at https://github.com/CompPhysics/QuantumComputingMachineLearning/tree/gh-pages/doc/pub/week1
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- _Reading recommendation_: Scherer chapter 2
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- _Reading recommendation_: Scherer chapter 2 and/or Hidary chapter 12
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## January 26 - January 30, 2026. Composite Systems and Tensor Products
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- Spectral decomposition and measurements

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