課程簡介
量子力學導論
- 量子力學的基本原理
- 量子態和量子比特
- 疊加和糾纏
Quantum Computing 基礎知識
- 量子電路和量子門
- 量子測量和量子比特操作
- 量子演算法簡介
量子演算法
- 量子演算法概述
- 量子傅里葉變換及其應用
- Grover 資料庫搜尋演算法
量子 AI 和 Machine Learning
- 量子機器學習演算法
- 量子神經網路
- 量子人工智慧的潛在應用
量子 AI 的挑戰和未來
- 量子 AI 中的技術挑戰
- 倫理考量和社會影響
- 量子人工智慧的未來趨勢和研究方向
實驗室專案
- 使用 Qiskit 或類似的量子計算框架類比量子演算法
- 開發基本的量子機器學習模型
- 合作開展一個小組專案,提出量子人工智慧的創新應用
摘要和後續步驟
最低要求
- 線性代數和量子力學的基本理解
- 熟悉 Python 程式設計
觀眾
- 人工智慧專業人士
- 人工智慧研究人員
客戶評論 (1)
Quantum computing algorithms and related theoretical background know-how of the trainer is excellent. Especially I'd like to emphasize his ability to detect exactly when I was struggling with the material presented, and he provided time&support for me to really understand the topic - that was great and very beneficial! Virtual setup with Zoom worked out very well, as well as arrangements regarding training sessions and breaks sequences. It was a lot of material/theory to cover in "only" 2 days, wo the trainer had nicely adjusted the amount according to the progress related to my understanding of the topics. Maybe planning 3 days for absolute beginners would be better to cover all the material and content outlined in the agenda. I very much liked the flexibility of the trainer to answer my specific questions to the training topics, even additionally coming back after the breaks with more explanation in case neccessary. Big thank you again for the sessions! Well done!