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MS331+MS333 Quantum Information Technologies and A Practical Module |
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Number of Credits |
4 |
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Offering School |
Zhiyuan College （ School of Physics and Astronomy） |
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Course Instructor |
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Course Level |
Undergraduate |
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Language of Instruction |
English |
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First Day of Class |
Wednesday, Sept. 14, 2022 |
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Last Day of Class |
Wednesday, Dec. 28, 2022 |
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Course Component |
Lecture |
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Mode of Teaching |
Synchronous (Online + On-campus) Course recordings available for students. |
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Meeting Time |
Week 1-16: Wednesdays, 18:00 p.m. - 21:30 p.m. |
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Time Zone |
Beijing Time（UTC+8） |
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Restrictions |
Second or Third year undergraduate with a background on physics , mathematics, computer sciences or other engineering subjects. Preliminary knowledge on quantum mechanics is not a must. |
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Course Description |
This course would cover the fundamental principles, algorithm designs and frontier progresses on quantum information and quantum computing, with an emphasis on the practical skills and visions for application-oriented quantum information technologies. Through this course, the students are expected to: ü Understand fundamental concepts for computational complexity, and the essential difference between classical and quantum computing; ü Learn different physical platforms for quantum computing including photonics, superconductors, ion traps, etc; Understand the physical realization and matrix expressions for qubits and quantum gates. ü Master common universal quantum algorithms including Deutsche’s algorithm, Grover’s algorithm, Shor’s algorithm, Quantum Fourier transform, and know how to implement quantum circuits on the online quantum cloud platform to demonstrate these algorithms. ü Learn analog quantum algorithms such as boson sampling and quantum walks, and understand the common analog quantum computing approaches including analog photonic quantum computing, Ising machine, and quantum annealer, etc. ü Know the hybrid quantum-classical algorithms such as VQE and QAOA that are being widely investigated as the Noisy Intermediate-Scale Quantum technologies. |
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Assessment Format |
1.Class performance: 30% 2.Oral report: 20% 3.Final Exam: 25% 4.Report: 25% |
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Syllabus |
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