报告人：陈丽清 教授
时间：5月14日（星期三）13:30-15:00
地点：闵行校区物理楼226报告厅/线上直播
报告人简介：
陈丽清，物理与电子科学学院，教授，上海市三八红旗手、上海市东方英才。近五年在新型量子干涉技术及其应用、宽带量子存储技术以及原子磁场测量技术取得了系列学术成果。在Nature Communications、Science Advance、Physical Review Letters、Optica等国际权威杂志上发表论文40余篇，获2020年上海自然科学一等奖。
报告题目：
人工智能赋能量子技术实验研究
Experimental Research on AI-empowered Quantum Technologies
报告简介：
人工智能技术有着大范围动态搜索和快速优化的优势，我们利用人工智能技术提升了实验系统的性能。首先，将人工智能控制用于提升量子存储器性能，实现了效率达到92%，保真度达到99%的宽带量子信息存储技术。然后，利用机器学习循环优化控制方法，结合PID快速响应和人工神经网络动态搜索的优势，提升光纤陀螺的零偏不稳定性。在开放环境下，灵敏度为0.005°/√h时，零偏不稳定性从60秒0.6723°/h（常规PID结果）优化到200秒0.3869°/h（人工智能结果）。最后，将人工智能控制用于优化偏振自旋转系统，产生真空压缩光场，压缩度为4.3dB，且能稳定输出时间达到小时量级。
Artificial intelligence technology has the advantages of large-scale dynamic search and rapid optimization. We used artificial intelligence technology to improve the performance of the experimental system. First, we develop an artificial intelligence control technology and use it to improve the performance of quantum memory, achieving broadband quantum memory technology with an efficiency of 92% and a fidelity of 99%. Then, the machine learning loop optimization control was used, combined with the advantages of PID fast response and artificial neural network dynamic search, to improve the bias instability of the fiber optic gyroscope. In an open environment, when the sensitivity was 0.005°/√h, the bias instability was optimized from 0.6723°/h in 60 seconds (conventional PID results) to 0.3869°/h in 200 seconds (artificial intelligence results). Finally, artificial intelligence control was used to optimize the polarization self-rotation system to generate a squeezed vacuum light with a squeezing degree of 4.3dB. The AI control system maintained this quantum state with continuous output stability exceeding one hour.
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