课程大纲
量子计算基础
- 算法开发中的关键量子概念。
- 理解量子比特、门和测量。
- 量子电路在计算中的作用。
Google Willow简介
- 探索Willow工作区。
- 使用模拟器和量子硬件。
- 管理任务和计算资源。
构建量子电路
- 设计参数化电路。
- 操作门和操作。
- 在Willow上执行简单电路。
实现核心量子算法
- 构建如Grover和QFT等算法。
- 分析算法在硬件上的行为。
- 比较经典与量子性能。
高级算法设计
- 创建针对特定问题的电路。
- 集成噪声缓解技术。
- 扩展和优化电路深度。
混合量子-经典工作流程
- 使用Python库编排工作流程。
- 将经典代码与Willow执行连接。
- 构建可重用的算法组件。
测试、调试与优化
- 使用模拟器工具调试电路。
- 分析量子算法性能。
- 应用优化策略。
部署量子算法
- 通过Willow界面提交任务。
- 审查执行结果。
- 迭代算法改进。
总结与下一步
要求
- 对核心编程概念的理解。
- 具备Python或类似语言的经验。
- 对量子计算原理的基本了解。
受众
- 开发者。
- AI研究人员。
- 从事新兴技术工作的数据科学家。
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!