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- The HHL algorithm, codes and algorithms
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- Teaching material in different formats at https://github.com/CompPhysics/QuantumComputingMachineLearning/tree/gh-pages/doc/pub/week12, see PDF file and jupyter-notebook. The jupyter-notebook is a companion to the PDF file
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- Video of lecture at https://youtu.be/e70HFOTKKMg
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- Whiteboard notes at https://github.com/CompPhysics/QuantumComputingMachineLearning/blob/gh-pages/doc/HandWrittenNotes/2026/Lectureweek112pdf
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- Whiteboard notes at https://github.com/CompPhysics/QuantumComputingMachineLearning/blob/gh-pages/doc/HandWrittenNotes/2026/Lectureweek12pdf
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## April 20-24, 2026 Quantum Machine Learning
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- QAOA algorithm and implementation
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## May 4-8, 2026 Quantum Machine Learning
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- Quantum neural networks and Quantum Physics Informed Neural Networks (QPINNs)
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- Solving differential equations with QPINNs
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- Teaching material in different formats at https://github.com/CompPhysics/QuantumComputingMachineLearning/tree/gh-pages/doc/pub/week15, see PDF file and jupyter-notebook. The jupyter-notebook is a companion to the PDF file
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- Teaching material in different formats at https://github.com/CompPhysics/QuantumComputingMachineLearning/tree/gh-pages/doc/pub/week15, see PDF file and jupyter-notebook. The jupyter-notebook is a companion to the PDF file
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- Video of lecture at https://youtu.be/WSlS4-xRwCI
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- Whiteboard notes at https://github.com/CompPhysics/QuantumComputingMachineLearning/blob/gh-pages/doc/HandWrittenNotes/2026/Lectureweek15.pdf
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## May 11-15, 2026
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- Quantum neural networks and quantum Boltzmann machines

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