Colloquium Details

Working with Tensor Networks of Arbitrary Structure

Speaker: Joseph Tindall, Flatiron Institute

Location: 60 Fifth Avenue Room 150

Date: March 1, 2024, 11 a.m.

Host: Michael Overton


Tensor networks are a compressed format for arrays with large numbers of dimensions. Such high-dimensional arrays are ubiquitous in the modern sciences and, as a result, tensor networks have found success in a number of different areas: simulating many-body quantum systems, solving differential equations, portfolio optimization and Boolean satisfiability problems are just a few examples.

In this talk, I will introduce the topic of tensor networks and discuss my research in this domain. I will focus on my efforts to move away from one-dimensional tensor networks and develop notation, software and algorithms which can be used to treat tensor networks of arbitrary structure. I will discuss the successful application of this philosophy to a recent quantum computation. Finally, I will discuss my future research plans in this direction. This includes plans to use tensor networks of arbitrary structure to solve differential equations and efforts to capture the many-body wavefunction of three-dimensional electronic and spin

Speaker Bio:

Joseph Tindall is a Flatiron Institute research fellow at the Center for Computational Quantum Physics (CCQ). His research is focused on uncovering the role that geometry plays in many-body quantum physics and he employs a combination of computational tensor-network methods and analytical methods in order to do so. Joseph earned an M.Sc. from the University of Bath and a Ph.D. from the University of Oxford. He also held a postdoctoral position at the University of Oxford before moving to the foundation.


In-person attendance only available to those with active NYU ID cards.

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