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QuanEstimation: An open-source toolkit for quantum parameter estimation
2022年12月06日 来源: 哈尔滨工业大学深圳研究生院 更新时间: 2022年12月13日

主 讲 人:刘京
讲座时间:2022-12-16
讲座地点:腾讯会议150-644-522

演讲人Speaker:刘京

题目Title: QuanEstimation: An open-source toolkit for quantum parameter estimation

时间Date:2022年 12月 16日       Time:上午10:00-12:00

地点Venue: 腾讯会议150-644-522

 

内容摘要Abstract:

Quantum parameter estimation promises a high-precision measurement in theory; however, how to design the optimal scheme in a specific scenario, especially under a practical condition, is still a serious problem that needs to be solved case by case due to the existence of multiple mathematical bounds and optimization methods. Depending on the scenario considered, different bounds may be more or less suitable, both in terms of computational complexity and the tightness of the bound itself. At the same time, the metrological schemes provided by different optimization methods need to be tested against realization complexity, robustness, etc. Hence, a comprehensive toolkit containing various bounds and optimization methods is essential for the scheme design in quantum metrology. To fill this vacancy, here we present a Python-Julia-based open-source toolkit for quantum parameter estimation, which includes many well-used mathematical bounds and optimization methods. Utilizing this toolkit, all procedures in the scheme design, such as the optimizations of the probe state, control and measurement, can be readily and efficiently performed.

个人简介(About the speaker):

刘京,华中科技大学精密重力测量国家重大基础设施及物理学院副研究员。2015年博士毕业于浙江大学物理系。2015年至2017年在香港中文大学机械与自动化学院从事博士后研究。2018年加入华中科技大学引力中心任副研究员。2019年获得湖北省“楚天学子”称号。曾主持基金委青年基金、面上项目等经费。曾获教育部2020年高等学校科学研究优秀成果奖二等奖以及2022年IOP Publishing Top Cited Paper Award。目前的研究兴趣包括量子精密测量理论、量子控制、量子力学基本问题等。