課程簡介
量子計算基礎
- 算法開發中的關鍵量子概念。
- 理解量子比特、門和測量。
- 量子電路在計算中的作用。
Google Willow簡介
- 探索Willow工作區。
- 使用模擬器和量子硬件。
- 管理任務和計算資源。
構建量子電路
- 設計參數化電路。
- 操作門和操作。
- 在Willow上執行簡單電路。
實現核心量子算法
- 構建如Grover和QFT等算法。
- 分析算法在硬件上的行爲。
- 比較經典與量子性能。
高級算法設計
- 創建針對特定問題的電路。
- 集成噪聲緩解技術。
- 擴展和優化電路深度。
混合量子-經典工作流程
- 使用Python庫編排工作流程。
- 將經典代碼與Willow執行連接。
- 構建可重用的算法組件。
測試、調試與優化
- 使用模擬器工具調試電路。
- 分析量子算法性能。
- 應用優化策略。
部署量子算法
- 通過Willow界面提交任務。
- 審查執行結果。
- 迭代算法改進。
總結與下一步
最低要求
- 對核心編程概念的理解。
- 具備Python或類似語言的經驗。
- 對量子計算原理的基本瞭解。
受衆
- 開發者。
- AI研究人員。
- 從事新興技術工作的數據科學家。
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!