课程大纲
量子力学导论
- 量子力学基本原理。
- 量子态与量子比特。
- 叠加与纠缠。
量子计算基础
- 量子电路与量子门。
- 量子测量与量子比特操作。
- 量子算法简介。
量子算法
- 量子算法概述。
- 量子傅里叶变换及其应用。
- Grover算法用于数据库搜索。
量子AI与机器学习
- 量子机器学习算法。
- 量子神经网络。
- 量子AI的潜在应用。
量子AI的挑战与未来
- 量子AI的技术挑战。
- 伦理考量与社会影响。
- 量子AI的未来趋势与研究方向。
实验项目
- 使用Qiskit或类似量子计算框架模拟量子算法。
- 开发基础量子机器学习模型。
- 小组合作,提出量子AI的创新应用。
总结与下一步
要求
- 对线性代数和量子力学有基本了解。
- 熟悉Python编程。
受众
- AI专业人士。
- AI研究人员。
客户评论 (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!