0476 - 量子機器學習
Quantum Machine Learning
教育目標 Course Target
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 learning processes. The emergence of quantum computers uses the properties of quantum force to accelerate computing. Quantum computers that are far faster than traditional computers naturally connect with machine learning. Quantum algorithms can be roughly divided into three categories: quantum Fuliye transformation, quantum search and complex quantum computing. The course will mainly focus on quantum computing, that is, the data in the quantum state is calculated.
參考書目 Reference Books
Quantum Machine learning
What Quantum Computing Means to Data Mining
Peter Wittek
https://www.sciencedirect.com/book/9780128009536/quantum-machine-learning
Quantum Machine learning What Quantum Computing Means to Data Mining
Peter Wittek
https://www.sciencedirect.com/book/9780128009536/quantum-machine-learning
評分方式 Grading
| 評分項目 Grading Method |
配分比例 Percentage |
說明 Description |
|---|---|---|
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出席，課堂討論 Attendance, class discussion |
10 | |
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作業 Action |
30 | |
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期中考 Midterm exam |
30 | |
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期末考 Final exam |
30 |
授課大綱 Course Plan
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相似課程 Related Courses
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課程資訊 Course Information
基本資料 Basic Information
- 課程代碼 Course Code: 0476
- 學分 Credit: 0-3
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上課時間 Course Time:Wednesday/7,8,Thursday/2[ST114]
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授課教師 Teacher:黃靜瑜
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修課班級 Class:應物系2-4
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選課備註 Memo:II類選修；先修：量子資訊與量子計算
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