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:Yuejiang Liu [Stanford University]时 间: 11:00-12:00, Apr 1, 2026 (Wed)地 点: remote talk (https://meeting.tencent.com/dm/9lN2ttVMMiHv #腾讯会议:800-735-970)内容:Physical intelligence has advanced rapidly in research labs, yet reliable deployment in everyday environments remains elusive. One central obstacle is the extrinsic dynamics of the real world: objects move, sensing is p...
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: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...
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:Ariel Procaccia [Harvard University] 时间:09:45-12:30, Mar 16, 2026 (Mon)地点: Lecture Hall, FIT Building内容:How should one design collective decision-making processes capable of handling enormous sets of alternatives like all possible policies, bills, or statements? I argue that this challenge can be addressed through a framework called generative social choice, which fuses the rig...