機器學習是一門新的學科，研究如何利用演算法來模擬學習過程。而量子電腦的出現，更是利用量子力學的性質來加速運算。速度遠遠超越傳統電腦的量子電腦，自然而然和機器學習聯繫起來。量子演算法可以大約分為三類：量子傅立葉變換、量子搜尋和複合式量子計算。課程主要將集中於量子計算，即在量子態中的數據進行運算。Machine learning is a new discipline that studies how to use algorithms to simulate the learning process. The emergence of quantum computers uses the properties of quantum mechanics to speed up operations. Quantum computers, which are much faster than traditional computers, are naturally linked to machine learning. Quantum algorithms can be roughly divided into three categories: quantum Fourier transform, quantum search and compound quantum computing. The course will focus primarily on quantum computing, which is the operation of data in quantum states.
Quantum Machine learning
What Quantum Computing Means to Data Mining
Peter Wittek
https://www.sciencedirect.com/book/9780128009536/quantum-machine-learning
Quantum Machine learningWhat Quantum Computing Means to Data Mining
Peter Wittek
https://www.sciencedirect.com/book/9780128009536/quantum-machine-learning
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 出席，課堂討論出席，課堂討論 Attendance, class discussion |
10 | |
| 作業作業 Homework |
30 | |
| 期中考期中考 midterm exam |
30 | |
| 期末考 期末考 final exam |
30 |
