課程簡介
介紹
量子物理理論應用綜述Quantum Computing
- 量子疊加基礎
- 量子糾纏的基本原理
- Mathematical 量子計算基礎
Quantum Computing 概述
- 區分量子計算和經典電子計算
- 將量子行為集成到量子計算中
- 量子比特
- 實現狄拉克符號
- 量子計算中的計算基礎測量
- 量子電路和量子預言機
在 Quantum Computing 中使用向量和矩陣
- Matrix 使用量子物理學進行乘法
- 張量積的約定
將高級矩陣概念應用於 Quantum Computing
量子 Computer 和量子模擬器概述
- 量子硬體及其元件
- 運行量子模擬器
- 量子類比中的可執行量子機制
- 在量子計算機中執行量子計算
使用 Quantum Computing 模型
- 不同量子門的邏輯和功能
- 瞭解量子門的疊加和糾纏效應
利用 Shor 演算法和 Quantum Computing 密碼學
在 Quantum Computing 中實現 Grover 演算法
估計量子中的量子相 Computer
- 量子傅里葉變換
編寫基礎 Quantum Computing 量子計算機的演算法和程式
- 利用正確的工具和語言進行量子計算
- 設置量子電路和指定量子門
在量子中編譯和運行量子演算法和程式 Computer
測試和調試量子演算法和量子 Computer 程式
使用量子糾錯 (QEC) 識別和糾正演算法錯誤
Quantum Computing 硬體和體系結構概述
將量子演算法和程式與量子硬體集成
故障排除
推進未來量子資訊科學應用Quantum Computing
總結和結論
最低要求
- 瞭解概率和線性代數的數學方法
- 理解基礎計算機科學理論和演算法
- 對基本量子物理學概念的理解
- 量子力學模型和理論的基本經驗
觀眾
- Computer 科學家
- 工程師
客戶評論 (3)
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!
Giorgi Ediberidze
Course - Quantum Computing with IBM Quantum Experience
示例和練習
Kamil
Course - Introduction to Data Science and AI using Python
機器翻譯
提供的所有資訊
Jose Victor - si
Course - Artificial Intelligence (AI) for Managers
機器翻譯