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@@ -6,7 +6,10 @@ quantum computing algorithms and quantum computers. The second part is
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optional and depends on the interests and backgrounds of the
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participants. The lectures cover mainly quantum machine learning
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algorithms with an emphasis on variational quantum algorithms for
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NISQ-era quantum computers. We discuss for example quantum for
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NISQ-era quantum computers. The schedule is adaptive and the lecture plan from the spring 2026 (see below)
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reflects the choices which can be made.
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We discuss for example quantum for
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neural networks, quantum support vector machines, quantum Boltzmann
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machines and the QAOA algorithm. Fault-tolerant algorithms like
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quantum Fourier transforms, quantum phase estimation and the HHL

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