Weekly Schedule and Class Notes |
- Lecture notes : all notes will be posted in this section.
- It is your responsibility to download, print and bring the notes to the class. Notes will be available 24 hours before each class.
Week |
Date |
Topic |
Reading |
Assignments |
Notices and Dues |
Notes |
1 |
09/05 |
1. Introduction |
Lecture Note |
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2 |
09/12 |
Reading days |
Lecture Note |
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3 |
09/19 |
2. Qubit 3. Stabe Network Vs Unstable Network 4. Schrodinger equation |
Lecture Note |
Network and differential equation |
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4 |
09/26 |
5. Differential Equation (ode and pde) 6. Brownian motion and Ito integral 7. Quantum mechanics (I) |
Lecture Note |
Bayesian network Differential network Quantum network |
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5 |
10/03 |
Reading day |
Lecture Note |
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6 |
10/10 |
8. Differential network 9. Quantum mecanics (II) |
Lecture Note |
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[Lecture] |
7 |
10/17 |
Reading day |
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8 |
10/24 |
10. Timeseries model (AR, MA, ARMA, ARIMA) 11. Partial Differential Equation with Brownian Motion Term 12. Network recovery from PDE 13. Geometric Brownian Model |
Lecture Note |
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9 |
10/31 |
14. Gentle Introduction of Quantum Computing 15. Qiskit Lab (I) |
Lecture Note |
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10 |
11/07 |
Midterm (I) |
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11 |
11/24 |
Midterm (II) |
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12 |
11/21 |
16. Detecting probability 17. Hisenberg Uncertainity Principle 18. Quantum Postulate |
Lecture Note |
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13 |
11/28 |
19. Quantum Entanglement 20. Quantum Gate with multi-bases 21. Qiskit Lab (II) |
Lecture Note |
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14 |
12/05 |
22. Qunatum Programming 23. Spectral Decomposition of Quantum Operator 24. Qiskit Lab (III) 25. HHL algoritm |
Lecture Note |
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14 |
12/12 |
26. Quantum deep neural networks and Quantum deep learning |
Lecture Note |
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15 |
12/19 |
Final Exam |
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