报告题目：Enhanced Quantum Force Sensing by Digital Twinning of Atomic Bose-Einstein Condensates

报告人： 黄堂友 博士后研究员 （瑞典查尔莫斯理工大学）

报告时间：2024年1月3日（星期三）10：30-12：00

报告地点：北洋园校区 49 教 210 室 （线上：腾讯会议 582-4097-0849）

报告摘要：

High sensitivity detection plays a vital role in science discoveries and technological applications. Here, we propose an innovative approach that harnesses the capabilities of machine learning, to significantly augment weak signal detection sensitivity. By training a generative machine learning model on time-of-flight measurements from an atomic Bose-Einstein condensates (BEC) force sensor, we create a digital twinning of the experimental system, accurately matching probabilistic distributions. The digital replica is capable of generating both typical and atypical configurations, mirroring the fluctuations observed in experimental measurements caused by quantum shot-noise and technical noise. An anomaly score, quantifying the level of configuration atypicality, is used as sensing response in the presence of weak force. This unconventional approach to force sensing is entirely data-driven, devoid of prior knowledge about the physical system or assumptions regarding the sensing process. Our findings demonstrate a significant advancement in sensitivity, achieving an order of magnitude improvement over conventional protocols in detecting a weak force of approximately 10^−25 N. The resulting sensitivity reaches 1.7(4) × 10^−25 N/ √Hz.

报告人简介：

       黄堂友，于2022年7月博士毕业于上海大学物理系。博士期间的导师为陈玺教授，主要从事量子调控方向的研究，如量子绝热捷径技术，最优化控制以及机器学习等。2022年8月-2023年6月任职于上海期智研究院，期间与复旦大学李晓鹏教授共同完成本次报告的工作(arXiv：https://arxiv.org/pdf/2307.00484.pdf )。2023年6月-至今，黄堂友作为博士后研究员在瑞典查尔莫斯理工大学（Chalmers University of Technology）参与关于北欧超导量子计算的项目研究。现在较为感兴趣的研究方向包括量子计算，最优化控制以及结合机器学习的量子技术与应用，更详细的信息和研究方向请参考主页：https://sites.google.com/view/tangyou-huang/home。