报告题目：Dimensional Reduction in the Presence of Quantum Agents
时间：2023.7.10 13:00-14:00
地点：交叉二号楼B6007会议室
报告人：Prof. Mile Gu
Gu is originally from New Zealand and obtained his Ph.D. at the University of Queensland. After a faculty position at Tsinghua, he joined Nanyang Technological University in 2016. There he presently leads the quantum and complexity science initiative, with a focus on quantum-enhanced modelling, causal inference, and data analytics. Gu also holds joint appointments at the Centre for Quantum technologies as a CQT Fellow, and is principal investigator of the French-Singapore joint institute Majulab. Gu’s previous accolades include the National Research Foundation Fellow, the Young China 1000 talent, and was also winner of the 2020 IBM Quantum Pitch Contest.
摘要：Dimensionality reduction captures the spirit of Occam’s razor–asking the fundamental question: What features of current data are the essential indicators of future behaviors? By isolating such features and discarding the rest, we gain a better understanding of underlying causal behaviors, while enabling models with reduced memory costs and enhanced generalization capability. Could quantum computers offer fundamental advantages in this arena? Here I will outline our ongoing work along these directions in the context of stochastic modelling and quantum-enhanced adaptive agents, and outline their potential implications for understanding complexity and non-Markovianity.
