Speaker：

Jin-Peng Liu 刘锦鹏（YMSC）

Time：

Tues. & Thur.,13:30-15:05,

Sept. 26-Dec. 5, 2024 (updated)

Note:

The lecture on Nov. 26 will be changed to 14:00--15:35, Nov. 26 and the lecture on Nov. 28 will be cancelled.

Venue：

B626, Shuangqing Complex Building A

Description:

Quantum computers have the potential to revolutionize how we think about computing. Central to quantum computation are quantum algorithms, which often differ considerably from classical algorithms. This is an advanced course that introduces quantum algorithms essential for scientific computation and artificial intelligence. Topics include Hamiltonian simulation, phase estimation, amplitude estimation, block encoding, quantum singular value transformation, and their applications in tasks like solving linear systems, eigenvalue problems, differential equations, optimization, and machine learning problems. The focus is on algorithmic components, design, and analysis. The quantum algorithms discussed are largely independent of the specific physical hardware on which they're implemented. Upon completing the course, students will have a solid understanding of the primary quantum algorithmic techniques for scientific computation and artificial intelligence, and will be prepared to engage with technical discussions and design novel quantum algorithms in their research.