课程大纲
混合 AI-Quantum 系统简介
- 量子计算原理概述
- 混合 AI 量子系统的关键元件
- 量子 AI 在各行各业的应用
Quantum Machine Learning 演算法
- 用于机器学习的量子演算法:QML,变分演算法
- 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-Quantum 系统的挑战
- 处理量子系统中的杂讯和纠错
- Scala可用性和性能限制
- 确保与传统 AI 框架整合
Quantum AI 的实际应用
- 工业混合 AI 量子系统案例研究
- 量子计算平台的实际实施
- 探索量子 AI 的潜在突破
优化 Quantum AI 工作流
- 管理混合经典量子工作流
- 最大限度地提高量子 AI 系统中的资源利用率
- 量子 AI 与传统 AI 基础设施的整合
用于特定 Use Case 的混合 AI 量子系统
- 用于优化问题的 Quantum AI
- 药物发现、财务和物流领域的用例
- 量子增强强化学习
AI 和 Quantum Computing 的未来趋势
- 量子硬体和软体的进步
- 量子 AI 在各个领域的未来潜力
- 量子 AI 的研发机会
总结和后续步骤
要求
- AI 和机器学习的高级知识
- 熟悉量子计算原理
- 演演算法开发和模型训练经验
观众
- AI 研究人员
- 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!