课程大纲
混合AI-量子系统简介
- 量子计算原理概述
- 混合AI-量子系统的关键组件
- 量子AI在各行业的应用
量子机器学习算法
- 量子机器学习算法:QML、变分算法
- 使用量子处理器训练AI模型
- 经典AI与量子AI方法的比较
混合AI-量子系统的挑战
- 处理量子系统中的噪声和纠错
- 可扩展性和性能限制
- 确保与经典AI框架的集成
量子AI的实际应用
- 混合AI-量子系统在行业中的案例研究
- 量子计算平台的实践应用
- 探索量子AI的潜在突破
优化量子AI工作流程
- 管理混合经典-量子工作流程
- 最大化量子AI系统的资源利用率
- 量子AI与经典AI基础设施的集成
混合AI-量子系统的特定用例
- 量子AI在优化问题中的应用
- 药物发现、金融和物流中的用例
- 量子增强的强化学习
AI与量子计算的未来趋势
- 量子硬件和软件的进展
- 量子AI在各个领域的未来潜力
- 量子AI研究与发展的机遇
总结与下一步
要求
- 深入了解AI和机器学习
- 熟悉量子计算原理
- 具备算法开发和模型训练的经验
受众
- AI研究员
- 量子计算专家
- 数据科学家和机器学习工程师
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!