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Copy file name to clipboardExpand all lines: doc/src/week1/week1.do.txt
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===== Possible textbooks =====
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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"
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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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o Wolfgang Scherer, Mathematics of Quantum Computing, see URL:"https://link.springer.com/book/10.1007/978-3-030-12358-1"
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o Stefano Olivares, A Student’s Guide to Quantum Computing, see URL:"https://link.springer.com/book/10.1007/978-3-031-83361-8"
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o Robert Hundt, Quantum Computing for Programmers, URL:"https://www.cambridge.org/core/books/quantum-computing-for-programmers/BA1C887BE4AC0D0D5653E71FFBEF61C6"
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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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!split
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===== Online material of possible interest =====
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o See IBM's Quantum Computer Programming: Hands-On Workshop at URL:"https://quantgates.com/learn-quantum"
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o IBM quantum challenge at URL:"https://github.com/qiskit-community/ibm-quantum-challenge-2024?tab=readme-ov-file"
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o IBM learning at URL:"https://learning.quantum.ibm.com/course/"
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o Coding with Qiskit URL:"https://www.youtube.com/watch?v=93-zLTppFZw" and URL:"https://github.com/derek-wang-ibm/coding-with-qiskit/tree/main"
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o Coding with QuTip, see URL:"https://qutip.org/"
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o Qbraid at URL:"https://www.qbraid.com"
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o PennyLane at URL:"https://pennylane.ai/ (tailored to machine learning)"
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