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...
演讲人:Michele Orrù [CNRS] 时间: 14:00-15:00, Mar 12, 2026 (Thu)地点: RM 1-222, FIT Building内容:We study a new Fiat-Shamir transformation based on an ideal permutation that minimizes permutation calls and aligns more closely with deployed systems. We show concrete bounds for soundness, knowledge soundness, and zero knowledge, revealing that indifferentiability -- the standard notion used ...
演讲人:Binyi Chen时间:14:00-15:00, Feb 28, 2026 (Sat)地点: RM 1-222, FIT Building内容:In an era of AI and digitalization, we face a dual challenge in building trust while preserving privacy. For example, social platforms are flooded with unverifiable AI-generated content, and online services require users to excessively expose their personal data. Zero-Knowledge Succinct Proofs (ZK-SNARKs) ...
演讲人:孙向恺 [Caltech] 时间:10:00-12:00, Feb 27, 2026 (Fri)地点: Lecture Hall, FIT Building内容:The fidelity of entangling operations is a key figure of merit in quantum information processing, especially in the context of quantum error correction. High-fidelity entangling gates in neutral atom arrays have seen remarkable advancement recently. A full understanding of error sources and thei...
演讲人:罗迪 [清华大学]时间:14:00-15:30, Feb 2, 2026 (Mon)地点: RM S527, MMW Building内容:Recent advancements in continuous-variable (CV) quantum systems are opening up growing opportunities for applications in both quantum learning and quantum simulation. In this talk, I will first discuss machine-learning approaches to multi-mode quantum tomography, enabling efficient reconstruction and ch...