Katharine Hyatt, Matthew Fishman

Katharine Hyatt graduated in June 2018 with a PhD in condensed matter physics from UC Santa Barbara. She now works as a postdoctoral researcher at the Flatiron Institute's Center for Computational Quantum Physics, searching for new numerical methods to investigate many-body systems in two (and higher dimensions) and interesting applications for them. She is also a sometime Julia language contributor.

Matthew Fishman graduated in the spring of 2018 with a PhD in physics from Caltech. His thesis was on the development of new tensor network algorithms for studying quantum many-body systems. In the fall of 2019, he started as an Associate Data Scientist at the Center for Computational Quantum Physics, part of the Flatiron Institute in New York City. There, he is a developer of the ITensor library, a leading software package for performing tensor network calculations.


Intelligent Tensors in Julia
Katharine Hyatt, Matthew Fishman

We present ITensors.jl, a ground-up rewrite of the C++ ITensor package for tensor network simulations in Julia. We will motivate the use of tensor networks in physics and give some examples for how ITensors.jl can help make the use and development of tensor network algorithms easier for researchers, users, and developers.

Elm A