Past events

Machine Learning Seminar Series

Don't miss Jie Ding, data science graduate faculty member and assistant professor in the School of Statistics, for the first session of the Machine Learning Seminar Series.

IMA Data Science Seminar: Quantum Compiler for Classical Dynamical Systems

Data science seminars hosted by the The Institute for Mathematics and Its Applications (IMA) take place on Tuesdays from 1:25 p.m. - 2:25 p.m.

This week, Dimitris Giannakis (Courant Institute of Mathematical Sciences), will be giving a lecture titled "Quantum Compiler for Classical Dynamical Systems".

Registration is required to access the Zoom webinar.

Abstract

We present a framework for simulating a measure-preserving, ergodic dynamical system by a finite-dimensional quantum system amenable to implementation on a quantum computer. The framework is based on a quantum feature map for representing classical states by density operators (quantum states) on a reproducing kernel Hilbert space (RKHS), H, of functions on classical state space. Simultaneously, a mapping is employed from classical observables into self-adjoint operators on H such that quantum mechanical expectation values are consistent with pointwise function evaluation. Meanwhile, quantum states and observables on H evolve under the action of a unitary group of Koopman operators in a consistent manner with classical dynamical evolution. To achieve quantum parallelism, the state of the quantum system is projected onto a finite-rank density operator on a 2^N-dimensional tensor product Hilbert space associated with N qubits. In this talk, we describe this "quantum compiler" framework, and illustrate it with applications to low-dimensional dynamical systems.

Biography

Dimitris Giannakis is an Associate Professor of Mathematics at the Courant Institute of Mathematical Sciences, New York University. He is also affiliated with Courant's Center for Atmosphere Ocean Science (CAOS). He received BA and MSci degrees in Natural Sciences from the University of Cambridge in 2001, and a PhD degree in Physics from the University of Chicago in 2009. Giannakis' current research focus is at the interface between operator-theoretic techniques for dynamical systems and machine learning. His recent work includes the development of techniques for coherent pattern extraction, statistical forecasting, and data assimilation based on data-driven approximations of Koopman operators of dynamical systems. He has worked on applications of these tools to atmosphere ocean science, fluid dynamics, and molecular dynamics.

View the full list of IMA data science seminars.

First day of classes

Welcome back! The spring 2021 semester begins on Tuesday, January 19.

View the full academic schedule on One Stop.

University closed

The University of Minnesota will be closed in observance of Martin Luther King, Jr. Day.

View the full schedule of University holidays.

UMN Day of Data 2021

Data matters! That’s the theme for this year’s UMN Day of Data, which explores the ways that data is used to address local and global issues including racial justice, epidemiology/health, climate, privacy and more. The event is open to all students, faculty, staff, and alumni from all University of Minnesota campuses, and attendance is free. Participants are invited to attend as many or few sessions as you like. All sessions will take place virtually.

Data science graduate faculty member Professor Ansu Chatterjee will give a presentation on data and climate change, beginning at 10:00 a.m. on Thursday, January 14. Don't miss out!

Wednesday, January 13 - Friday, January 15
Morning session: 10:00 a.m. - 12:00 p.m.
Afternoon session: 1:00 p.m. - 3:00 p.m.

More information and registration: z.umn.edu/dayofdata

UMN Machine Learning Seminar

The UMN Machine Learning Seminar Series brings together faculty, students, and local industrial partners who are interested in the theoretical, computational, and applied aspects of machine learning, to pose problems, exchange ideas, and foster collaborations. The talks are every Wednesday from 3:30 p.m. - 4:30 p.m. during the Fall 2020 semester.

This week's speaker, Stefano Martiniani  (University of Minnesota Department of Chemical Engineering and Materials Science) will be giving a talk about design of novel theoretical and computational frameworks to address open problems in science and engineering. His approaches draw primarily from statistical physics, dynamical systems, and machine learning.

IMA Data Science Seminar

Data science seminars hosted by the The Institute for Mathematics and Its Applications (IMA) take place on Tuesdays from 1:25 p.m. - 2:25 p.m.

This week, Barak Sober (Duke University), will be giving the lecture.

View the full list of IMA data science seminars.

IMA Data Science Seminar

Data science seminars hosted by the The Institute for Mathematics and Its Applications (IMA) take place on Tuesdays from 1:25 p.m. - 2:25 p.m.

This week, Matthew Hirn (Michigan State University), will be giving the lecture.

View the full list of IMA data science seminars.

IMA Data Science Seminar

Data science seminars hosted by the The Institute for Mathematics and Its Applications (IMA) take place on Tuesdays from 1:25 p.m. - 2:25 p.m.

This week, Xiuyuan Cheng (Duke University), will be giving the lecture.

View the full list of IMA data science seminars.

IMA Data Science Seminar

Data science seminars hosted by the The Institute for Mathematics and Its Applications (IMA) take place on Tuesdays from 1:25 p.m. - 2:25 p.m.

This week, Gal Mishne (University of California, San Diego), will be giving the lecture.

View the full list of IMA data science seminars.