Topics in Deep Learning Theory
CMSA Room G10 CMSA, 20 Garden Street, Cambridge, MA, United StatesTopics in Deep Learning Theory Eli Grigsby
Topics in Deep Learning Theory Eli Grigsby
Open Discussion/Tea
Geometry and Quantum Theory Seminar Speaker: Thibault Décoppet, Harvard University Title: Fusion 2-Categories and their Classification Abstract: Categorifying the classical notion of fusion (1-)category, fusion 2-categories were recently introduced. These objects have found many applications in Physics, most notably to the classification of topological orders, but also to the description of non-invertible symmetries in 2+1 dimensions. […]
Math and Machine Learning Program Discussion
CMSA Q&A Seminar Speaker: Dan Freed, Harvard Mathematics & CMSA Topic: What are topological phases of matter?
Mathematical Physics and Algebraic Geometry Seminar
Topics in Deep Learning Theory Eli Grigsby
Quantum Field Theory and Physical Mathematics Seminar Speaker: Luuk Stehouwer, Dalhousie University
Math and Machine Learning Program Discussion
Member Seminar Speaker: Ahsan Khan
Freedman CMSA Seminar *Note: via Zoom only* 2:00-3:30 pm ET Speaker: Matt Hastings, Microsoft Quantum Program Title: Invertible Phases of Matter and Quantum Cellular Automata: Dimensions One to Three Abstract: A Quantum Cellular Automaton (QCA) is a *-automorphism of the algebra of local operators. While local quantum circuits provide one example of QCA, we are […]
Mathematics and Machine Learning Closing Workshop Dates: October 28 - Oct. 30, 2024 Location: Room G10, CMSA, 20 Garden Street, Cambridge MA Register to attend in-person Register for Zoom Webinar Directions to CMSA The closing workshop will provide a forum for discussing the most current research in these areas, including work in progress and recent […]