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1. 1▶Classical PAC learning | L15 Advanced Topics in Quantum Information Theory 2022Lectures: Advanced Topics in Quantum Information Theory 2022Notes
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2. 2▶Sample-optimal learning of quantum states | L14 Advanced Topics in Quantum Information Theory FS22Lectures: Advanced Topics in Quantum Information Theory 2022Notes
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3. 3▶Introduction to quantum learning theory | L13 Advanced Topics in Quantum Information Theory 2022Lectures: Advanced Topics in Quantum Information Theory 2022Notes
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4. 4▶L15 Entanglement : Introduction to quantum computing course 2022Introduction to quantum computing course 2022Notes
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5. 5▶Thermo-majorization and free energies | L12 Advanced Topics in Quantum Information Theory FS22Lectures: Advanced Topics in Quantum Information Theory 2022Notes
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6. 6▶Resource theories of thermodynamics | L11 Advanced Topics in Quantum Information Theory 2022Lectures: Advanced Topics in Quantum Information Theory 2022Notes
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7. 7▶Efficiency of quantum thermal engines | L10 Advanced Topics in Quantum Information Theory FS22Lectures: Advanced Topics in Quantum Information Theory 2022Notes
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8. 8▶L14 Revision : Introduction to quantum computing course 2022Introduction to quantum computing course 2022Notes
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9. 9▶Autonomous quantum thermal engines | L09 Advanced Topics in Quantum Information Theory 2022Lectures: Advanced Topics in Quantum Information Theory 2022Notes
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10. 10▶L13 Composite systems and entanglement : Introduction to quantum computing course 2022Introduction to quantum computing course 2022Notes
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11. 11▶Coherence manipulation | L08 Advanced Topics in Quantum Information Theory FS22Lectures: Advanced Topics in Quantum Information Theory 2022Notes
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12. 12▶L12 Composite systems : Introduction to quantum computing course 2022Introduction to quantum computing course 2022Notes
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13. 13▶Quantum work extraction and erasure | L07 Advanced Topics in Quantum Information Theory 2022Lectures: Advanced Topics in Quantum Information Theory 2022Notes
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14. 14▶L11 Composite systems : Introduction to quantum computing course 2022Introduction to quantum computing course 2022Notes
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15. 15▶L10 Interpretations of Quantum Mechanics: Introduction to quantum computing course 2022Introduction to quantum computing course 2022Notes
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16. 16▶Information and thermodynamic entropy | L06 Advanced Topics in Quantum Information Theory FS22Lectures: Advanced Topics in Quantum Information Theory 2022Notes
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17. 17▶L9 Observables : Introduction to quantum computing course 2022Introduction to quantum computing course 2022Notes
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18. 18▶L8 Observables : Introduction to quantum computing course 2022Introduction to quantum computing course 2022Notes
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19. 19▶L7 Measurements in other bases : Introduction to quantum computing course 2022Introduction to quantum computing course 2022Notes
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20. 20▶L6 Basis rotations: Introduction to quantum computing course 2022Introduction to quantum computing course 2022Notes
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21. 21▶Lecture 7.1 - Quantum Kernels in PracticeQuantum Machine Learning | 2021 Qiskit Global Summer SchoolNotes
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22. 22▶Lecture 6.2 - Quantum Feature Spaces and KernelsQuantum Machine Learning | 2021 Qiskit Global Summer SchoolNotes
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23. 23▶Lecture 6.1 - From Variational Classifiers to Linear ClassifiersQuantum Machine Learning | 2021 Qiskit Global Summer SchoolNotes
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24. 24▶Lecture 5.2 - Introduction to the Quantum Approximate Optimization Algorithm and ApplicationsQuantum Machine Learning | 2021 Qiskit Global Summer SchoolNotes
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25. 25▶Lecture 5.1 - Building a Quantum ClassifierQuantum Machine Learning | 2021 Qiskit Global Summer SchoolNotes
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26. 26▶Lecture 4.2 - Advanced Classical Machine Learning (ML)Quantum Machine Learning | 2021 Qiskit Global Summer SchoolNotes
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27. 27▶Lecture 4.1 - Introduction to Classical Machine Learning (ML)Quantum Machine Learning | 2021 Qiskit Global Summer SchoolNotes
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28. 28▶Lecture 3.2 - Noise in Quantum Computers - part 2Quantum Machine Learning | 2021 Qiskit Global Summer SchoolNotes
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29. 29▶Lecture 3.1 - Noise in Quantum Computers - part 1Quantum Machine Learning | 2021 Qiskit Global Summer SchoolNotes
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30. 30▶Lecture 2.2 - Simple Quantum Algorithms IIQuantum Machine Learning | 2021 Qiskit Global Summer SchoolNotes
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31. 31▶Lecture 2.1 - Simple Quantum Algorithms IQuantum Machine Learning | 2021 Qiskit Global Summer SchoolNotes
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32. 32▶Lecture 1.2 - Introduction to Quantum CircuitsQuantum Machine Learning | 2021 Qiskit Global Summer SchoolNotes
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33. 33▶Lab 2 - Introduction to Variational AlgorithmsQuantum Machine Learning | 2021 Qiskit Global Summer SchoolNotes
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34. 34▶Lecture 1.1 - Vector Spaces, Tensor Products, and QubitsQuantum Machine Learning | 2021 Qiskit Global Summer SchoolNotes
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35. 35▶Lab 1 - Introduction to Quantum Computing Algorithms and OperationsQuantum Machine Learning | 2021 Qiskit Global Summer SchoolNotes
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36. 36▶A practical introduction to quantum computing - Elias Fernandez-Combarro Alvarez - (7/7)A practical introduction to quantum computing from qubits to quantum machine learning: CERNNotes
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37. 37▶A practical introduction to quantum computing - Elias Fernandez-Combarro Alvarez - (6/7)A practical introduction to quantum computing from qubits to quantum machine learning: CERNNotes
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38. 38▶A practical introduction to quantum computing - Elias Fernandez-Combarro Alvarez - (5/7)A practical introduction to quantum computing from qubits to quantum machine learning: CERNNotes
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39. 39▶A practical introduction to quantum computing - Elias Fernandez-Combarro Alvarez - (4/7)A practical introduction to quantum computing from qubits to quantum machine learning: CERNNotes
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40. 40▶A practical introduction to quantum computing - Elias Fernandez-Combarro Alvarez - (3/7)A practical introduction to quantum computing from qubits to quantum machine learning: CERNNotes
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41. 41▶A practical introduction to quantum computing - Elias Fernandez-Combarro Alvarez - (2/7)A practical introduction to quantum computing from qubits to quantum machine learning: CERNNotes
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42. 42▶A practical introduction to quantum computing - Elias Fernandez-Combarro Alvarez - (1/7)A practical introduction to quantum computing from qubits to quantum machine learning: CERNNotes
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