課程簡介
混合 AI-Quantum 系統簡介
- 量子計算原理概述
- 混合 AI 量子系統的關鍵元件
- 量子 AI 在各行各業的應用
Quantum Machine Learning 演算法
- 用於機器學習的量子演算法:QML,變分演算法
- 使用量子處理器訓練 AI 模型
- 經典 AI 與量子 AI 方法的比較
混合 AI-Quantum 系統的挑戰
- 處理量子系統中的雜訊和糾錯
- Scala可用性和性能限制
- 確保與傳統 AI 框架整合
Quantum AI 的實際應用
- 工業混合 AI 量子系統案例研究
- 量子計算平臺的實際實施
- 探索量子 AI 的潛在突破
優化 Quantum AI 工作流
- 管理混合經典量子工作流
- 最大限度地提高量子 AI 系統中的資源利用率
- 量子 AI 與傳統 AI 基礎設施的整合
用於特定 Use Case 的混合 AI 量子系統
- 用於優化問題的 Quantum AI
- 藥物發現、財務和物流領域的用例
- 量子增強強化學習
AI 和 Quantum Computing 的未來趨勢
- 量子硬體和軟體的進步
- 量子 AI 在各個領域的未來潛力
- 量子 AI 的研發機會
總結和後續步驟
最低要求
- AI 和機器學習的高級知識
- 熟悉量子計算原理
- 演演算法開發和模型訓練經驗
觀眾
- AI 研究人員
- 量子計算專家
- 數據科學家和機器學習工程師
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!