演讲人： Xinyang Li Tsinghua University
时间： 2024-12-09 10:00-2024-12-09 11:00
地点：FIT 1-222
内容：

A fundamental challenge in optical imaging is the photon shot noise arising from the inevitable stochasticity of photon detection. Noise increases measurement uncertainty, degrades observation quality, and limits imaging resolution, speed, and sensitivity. The sensitivity of any measurement system based on classical physics must be lower than the standard quantum limit, which not only restricts our observations of scientific phenomena, but also hinders the realization of optical computing with higher performance. This talk will introduce our work from AI to quantum to achieve high-sensitivity imaging and computing beyond the standard quantum limit. From one perspective of algorithms, I will introduce our self-supervised denoising method to resolve biological phenomena from severe noise contamination. From another perspective of physics, I will introduce our efforts in quantum imaging and quantum-enhanced optical computing to break the standard quantum limit towards higher observational capability and computing power.

个人简介:

Xinyang Li is a Postdoctoral Researcher at the Department of Automation, Tsinghua University. He received his Ph.D. degree from Tsinghua University in 2023. His research interests are at the intersection of artificial intelligence, optical imaging, and neuroscience. He is committed to developing intelligent imaging methods and quantum imaging systems to achieve high-sensitivity observations of neural dynamics. His work has been published in high-impact journals including Nature Methods, Nature Biotechnology, Nature Computational Science, Light: Science & Applications, etc. He was invited as a special lecturer at the CICAI2023. He received IDG/McGovern Award for Outstanding Research Achievement, Tsinghua Outstanding Doctoral Dissertation Award, National Scholarship, etc.