课程大纲
Google Willow简介
- 了解Willow的架构和功能。
- 导航量子工作空间。
- 访问硬件和模拟器。
应用量子基础
- 量子算法的关键原理。
- 叠加、纠缠和干涉。
- 量子电路设计要点。
行业量子算法
- 常用算法概述。
- 理解算法性能。
- 为实际应用选择算法。
金融用例
- 投资组合优化场景。
- 风险建模增强。
- 量子方法用于欺诈检测。
医疗和生命科学用例
- 加速药物发现。
- 分子模拟工作流程。
- 量子支持的诊断研究。
制造和物流用例
- 优化复杂供应链。
- 材料和过程模拟。
- 调度和资源分配挑战。
在Willow上运行量子实验
- 在界面中构建电路。
- 执行任务并审查结果。
- 基准测试和优化实验。
评估量子准备和策略
- 评估组织需求。
- 识别潜在的量子投资回报。
- 规划采用的下一步。
总结与下一步
要求
- 具备基础量子计算概念的理解。
- 有计算问题解决或技术分析的经验。
- 熟悉基于云的研究平台。
受众
- 商业领袖。
- 研究人员。
- 探索量子技术的专业人士。
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!