时 间:13:00-15:00, Apr 21, 2026 (Tue)地 点:Seminar Room 2, 19th Floor, Tower C, TusPark内容:Building world models that internally represent how the world looks, evolves, and responds to actions is increasingly recognized as a foundation for embodied intelligence. As Vincent Sitzmann suggests, traditional vision tasks like 3D reconstruction, segmentation, and detection may ultimately serv...
演讲人:杨大猷 [中国科学技术大学]时 间:16:30-18:00, Apr 17, 2026 (Fri)地 点:RM 1-222, FIT Building内容:Continuous monitoring of driven-dissipative quantum optical systems provides key strategies for the implementation of quantum metrology, with prominent examples ranging from the gravitational wave detectors to the emergent driven-dissipative many-body sensors. Nevertheless, fundamental ...
演讲人:周游 [复旦大学]时 间:16:00-18:00, Mar 31, 2026 (Tue)地 点:RM S327, MMW Building内容:Measuring global quantum properties-such as the fidelity to complex multipartite states-is both an essential and experimentally challenging task. Classical shadow estimation offers favorable sample complexity, but typically relies on many-qubit circuits that are difficult to realize on current pla...
演讲人:李睿 [浙江大学] 时 间:10:00-12:00, Apr 2, 2026 (Thu)地 点:RM S527, MMW Building内容:Quantum technologies are rapidly advancing across computation, simulation, and precision sensing, yet their practical performance is fundamentally limited by noise, finite-size effects, and imperfect control. In this talk, Iwill present a unified perspective on designing robust and resource-effici...
演讲人:Anupam Chattopadhyay and Wang Siyi [新加坡南洋理工大学] 时 间: 14:00-15:30, Mar 20, 2026 (Fri)地 点: RM S727, MMW Building内容:Major advances across all the design stack of Quantum computing – algorithm, software, and hardware – has brought us to a realm where, it is impossible to ignore the effect of Quantum computing in the world around us. We will present two aspects of Quan...
演讲人:Jian Qian [The University of Hong Kong]时 间: 14:00-15:00, Mar 24, 2026 (Tue)地 点: 清华大学吕大龙楼806内容:尽管Boosting方法在结构化预测中被广泛应用,但对于超越标量损失的聚合方法,目前仍缺乏统一而系统的理论理解。在本报告中,我将介绍我们近期关于向量值预测(vector-valued prediction)与条件密度估计(conditional density estimation)的研究工作,并讨论在一般散度(divergence)下的理论框...